Semi Senior Data Engineer - Azure Databricks

OppFi is a premier tech-driven digital finance platform collaborating with banks to deliver financial products and services to everyday Americans. We focus on transparency and responsibility, fostering financial inclusion and providing an excellent customer experience. Our mission is to support consumers who are often overlooked by traditional financial opti…

At OppFi, we are revolutionizing the financial landscape for everyday Americans through our cutting-edge tech-enabled digital finance platform. Partnering with banks, we provide a range of financial products and services designed to support individuals who may be overlooked by conventional financial solutions. Our commitment to transparency, responsibility, and exemplary customer experience fosters financial inclusion and promotes healthier financial lives.Our team is comprised of compassionate, innovative, and diverse individuals who thrive on collaboration and the sharing of unique perspectives. We believe in tackling challenges with creativity and are guided by our core values, which foster an open and collaborative culture that allows us to improve daily. We are looking for passionate individuals eager to make a significant impact in the financial system by enhancing credit access and delivering outstanding customer service.Fun fact: OppFi is proud to be a top-rated online financial platform, recognized with a 4.5/5.0-star rating on Trustpilot. We have been honored as a 2025 Crain’s Fast 50™ company and featured in Built In's 2025 Best Places to Work in Chicago.About The Role:As a Senior Software Engineer on the Core Team, you will play a vital role in the evolution of OppFi’s software ecosystem that constitutes our product portfolio. Your primary responsibilities will involve developing, maintaining, and enhancing the core libraries and documentation utilized by all Application Development teams. In this role, you will:Utilize contemporary technologies including Java, SpringBoot, Docker, AWS, PostgreSQL, EventStoreDB, GitHub, and ArgoCD as the organization evolves.Enhance core libraries to address essential cross-cutting concerns such as security, observability, data encryption, scalability, and resilience.Troubleshoot complex issues in collaboration with Application Developers, vendors, and platform teams.Engage with business and technology professionals across the company in an Agile manner to ensure technical systems align with business requirements.Conduct code reviews, unit and integration testing, and produce high-quality documentation while adhering to industry best practices.Continuously learn new tools and methodologies; we are dedicated to your professional development through internal training, external classes, conferences, and learning materials.Mentor junior engineers and new team members.

Join Binance, the world's leading blockchain ecosystem, as a Senior Data Engineer. You will play a crucial role in enhancing our data infrastructure, ensuring efficient processing and analysis of vast amounts of data. Collaborate with cross-functional teams to design robust data pipelines, optimize data flow, and contribute to innovative solutions that drive our digital asset offerings. Your expertise will be essential in maintaining our competitive edge in the cryptocurrency market.

Job Title: Senior Data EngineerAt Prompt, we are passionate about leveraging the power of data to enhance healthcare outcomes. We are on the lookout for a highly skilled Senior Data Engineer to spearhead our innovative data initiatives. Your expertise will be pivotal in transforming complex data into actionable insights that inform strategic decision-making.Prompt is a trailblazing startup dedicated to providing cutting-edge, automated B2B software solutions for rehabilitation therapy businesses. Our platform is not just a tool; it’s an integral part of the teams and patients we serve, helping them achieve remarkable results. As we continue to expand our market presence, our commitment to delivering software that users love remains unwavering.As we scale our operations, data is increasingly at the heart of our decision-making processes. We seek a Senior Data Engineer who can collaborate effectively across teams, focusing on developing and maintaining robust data pipelines and performing sophisticated data transformations. A strong aptitude for hypothesis generation, data modeling, and analytical analysis is crucial for guiding both client and internal decision-making. This role will contribute to the creation of impactful data products, enhancing outcomes for our clients and their patients, while also driving efficiency within our Product, Client Success, Growth, and Operations teams.This is a high-impact opportunity where you will take ownership of building iterative systems, working closely with various stakeholders to ensure our data products deliver substantial value.ResponsibilitiesChampion Prompt’s mission to revolutionize healthcare through actionable, high-quality data that enhances decision-making for clients and internally.Lead the design, development, and continuous improvement of intricate data systems — from raw data ingestion through to transformation, modeling, and downstream analysis.Conduct exploratory analyses and hypothesis-driven investigations to extract meaningful insights that inform both client-facing and internal strategies.Utilize advanced AI and LLM-powered tools (e.g., code assistants, agents, automation frameworks) to expedite data transformation and analysis while ensuring reliability, security, and maintainability.Create and refine well-structured datasets, complex transformations, and performance metrics.Design and implement stringent data quality checks, continuous monitoring, and observability to guarantee data correctness, freshness, and trustworthiness.Collaborate with stakeholders to comprehend client and internal workflows, establish success metrics, and drive the execution of our data strategy.

Join Zencore, a rapidly expanding company founded by ex-Google Cloud leaders, as a Senior Data Engineer. You'll partner with innovative businesses, guiding them in their transition to Google Cloud while tackling data modernization challenges. Your expertise in ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data will be essential as you collaborate closely with client teams to drive their data-driven transformations.

OppFi is a pioneering tech-enabled digital finance platform that collaborates with banks to offer financial products and services tailored for everyday Americans. Our commitment to transparency and responsibility enables us to support consumers who are often overlooked by traditional finance options, helping them to achieve better financial health.We are a team of compassionate, innovative, and inclusive individuals who thrive on embracing diverse talents, expertise, perspectives, and backgrounds. Our employees tackle every new challenge with a unique vision to see what can be achieved rather than merely accepting the status quo. Guided by our business principles, we foster an open and collaborative culture where continuous improvement is the norm, and the best ideas always prevail! We invite individuals who are eager to impact the financial system by facilitating access to credit, enhancing financial inclusion, promoting fiscal wellness, and delivering outstanding customer service.Fun facts: OppFi is consistently rated as one of the top consumer financial platforms online, boasting a 4.5/5.0-star rating on Trustpilot. We are proud to be recognized as a 2025 Crain’s Fast 50™ company and featured on Built In's 2025 Best Places to Work in Chicago.About the role:We are seeking a Manager of Enterprise Application Engineering to join our dynamic OppFi Technology team. This pivotal role will report directly to the Senior Director of Platform and Operations and will lead a talented team of engineers dedicated to advancing OppFi’s technological initiatives.Your Responsibilities:As the Manager of Enterprise Application Engineering, you will lead a skilled team of engineers, serving as their technical mentor and professional guide. Your objective is to be the trusted technology partner that revolutionizes business operations by creating a secure, scalable, and automated environment that empowers our workforce, safeguards our data, and propels our business forward.Team Leadership & MentorshipLead, mentor, and cultivate a world-class team of Enterprise Application Engineers.Oversee hiring, onboarding, performance management, and the career development of your direct reports.Act as the "player-coach" and foremost technical expert for your team, adept at unblocking your engineers, leading complex architectural reviews, and resolving challenging issues.Encourage a culture of accountability, collaboration, and perpetual improvement.

About HoneHone is revolutionizing healthcare with our innovative online medical clinic that focuses on enhancing longevity and empowering individuals to take charge of their health. By leveraging advanced scientific research, we help both men and women unlock their full potential. Our team is at the core of our mission, driving our success through our commitment to our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization since our inception, Hone continues to embrace a remote-first culture.Our Ideal CandidateWe are seeking a mission-driven Senior Data Engineer who is a proactive multi-tasker dedicated to making a meaningful impact. The ideal candidate thrives in a dynamic, fast-paced environment and is eager to tackle challenges with enthusiasm. They possess a strong collaborative spirit and excel in both independent and team-oriented tasks, fostering open communication. With a commitment to learning and development, they exhibit humble leadership while driving initiatives to help others live longer, healthier lives.The RoleAs a Senior Data Engineer at Hone, you will report directly to the Senior Director of Data, Analytics, and Machine Learning. Your primary responsibility will be to develop and maintain the pipelines and infrastructure that facilitate analytics, reporting, and machine learning projects. Additionally, you will play a key role in constructing a longevity ontology knowledge graph. This position is perfect for someone with over 5 years of experience looking to expand their influence and technical expertise within a collaborative team.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Developing, maintaining, and optimizing reliable data pipelines using SQL, dbt, and Python.Building and managing an ontology graph database with CosmosDB and Gremlin.Leveraging agentic AI to streamline and automate pipeline development.Working alongside Analytics Engineers, Data Scientists, Analysts, and Software Engineers to transform and structure data to fulfill business objectives.

Alt is revolutionizing the landscape of alternative assets, beginning with the booming $5 billion trading-card market. We empower collectors to buy, sell, store, and finance their cards all in one platform, supported by influential leaders at Stripe, Coinbase, Seven Seven Six, and renowned athletes like Tom Brady and Giannis Antetokounmpo. Our next big goal is to implement real-time pricing at scale—the Alt Value that drives every transaction, loan, and product on our platform.The RoleAre you a passionate data engineer excited about creating robust data pipelines and tackling intricate data challenges? In this position, you will oversee Alt's vital data infrastructure that underpins our pricing model and marketplace insights by effectively ingesting transaction and listing data from a variety of external marketplaces. Your primary responsibility will be to ensure that our data pipelines deliver timely, accurate information that informs pricing strategies, market analytics, and business intelligence across the platform.What You Will Do HereDesign, optimize, and manage data pipelines that scrape, process, and ingest transaction and listing data from major auction houses and marketplaces.Develop comprehensive monitoring and alert systems to track latency, uptime, and coverage metrics across all data sources.Continuously enhance our data infrastructure by modernizing storage and processing technologies, minimizing manual interventions, and optimizing for cost, performance, and reliability.Collaborate with internal teams to comprehend data usage patterns and ensure pipelines deliver clean, standardized data that meets product specifications.This Position is Ideal for You If You...Value data quality and recognize that extraction is just the beginning—the real value lies in delivering clean and usable data.Flourish in a startup environment where your contributions have immediate impact and you can take ownership of critical systems from start to finish.Prefer a step-by-step approach to enhancements, favoring evidence-based decisions over complete system replacements.Are intellectually curious about data flow within systems and eager to explore automation opportunities.Desire to work at the intersection of data engineering and product, understanding how your pipelines directly influence business outcomes.

Are you passionate about making a difference? Join Enveritas, a mission-driven non-profit organization, as a Backend Software Engineer! By developing software solutions, you will play a crucial role in enhancing the livelihoods of millions of coffee farmers globally. As a Y Combinator-backed startup, we are looking for talented individuals to join our Engineering & Data Group on a full-time remote basis. Explore more about this opportunity and our team at https://www.enveritas.org/jobs/backend-software-eng/ About Our Engineering & Data Group We are a diverse, innovative, and collaborative team of around thirty members from various backgrounds, including journalism, academia, and international industries. Our group boasts a gender representation of 36% identifying as women and/or nonbinary, and many of us are parents or soon-to-be parents. Our mission is to build and maintain software that collects, analyzes, and reports crucial data regarding the conditions and practices of coffee farmers. This large-scale data collection involves intricate systems working in harmony, leveraging technology to facilitate every step—from identifying coffee farms through satellite imagery to coordinating survey modifications across diverse country teams and detecting real-time data anomalies for prompt investigation. Ultimately, we aim to provide roasters and stakeholders with actionable insights to improve the social, economic, and environmental conditions of smallholder farmers. Our backend systems are primarily built using Python and PostgreSQL/PostGIS, hosted on AWS through containerized services. We embrace GitHub for version control, CI/CD for deployment, and Terraform to manage infrastructure. Your Role and Responsibilities As a Backend Software Engineer within our EUDR engineering team, you will focus on enhancing backend systems designed to process customer-submitted farm lists, validate and transform inputs, and integrate them with our deforestation detection models and geospatial datasets. Your key responsibilities will include: Backend Feature Development and Maintenance: Improve our EUDR backend services, refine geospatial workflows, and enhance data integrity checks and error handling. Investigative Problem-Solving: Collaborate with the Support team to trace issues, analyze data, and develop solutions for any discrepancies. Flexibility in Requirements: Adapt to ambiguous or evolving requirements while ensuring project goals are met.

About TrafileaTrafilea is a forward-thinking Tech E-commerce Group that operates several direct-to-consumer brands within the intimate apparel and beauty industries. We leverage data-driven strategies to propel our businesses forward. Beyond our diverse range of products, we cultivate an online community that champions body positivity. As a rapidly expanding global entity, Trafilea is dedicated to delivering high-quality products and services that enhance customer satisfaction and facilitate sustainable growth.Join Our Business Intelligence Team @ TrafileaAt Trafilea, we nurture a culture rooted in collaboration, innovation, and continuous learning. We are committed to investing in our talent and providing the necessary support and development opportunities for both personal and professional growth. Embrace the freedom of a remote-first work environment, collaborating with a diverse and talented team from around the globe.We are seeking a Senior Data Engineer who will play a pivotal role in constructing and maintaining data pipelines and data models for our company's data platform. This role is crucial for driving Trafilea’s growth. You should have a strong passion for data architecture and data warehousing, with a focus on creating scalable and dependable frameworks for efficient data extraction and transformation.Key Responsibilities:Analyze, design, implement, and maintain pipelines that reliably and efficiently produce business-critical data utilizing cloud technologies.Develop new ETL processes (Extract, Transform, Load) using Apache Airflow. Propose initiatives to enhance performance, scalability, reliability, and overall robustness.Collect, process, and clean data from various sources using Python & SQL.Collaborate closely with lead Architects and Developers to ensure adherence to best practices and guidelines across all projects.Effectively assess and communicate the effort required for necessary developments.Identify new data sources to enhance existing pipelines and take responsibility for building and maintaining data models for new and ongoing projects.Maintain comprehensive documentation of your work and changes to uphold data quality and governance.Provide insightful feedback and expert perspectives to support data initiatives across the organization.Enhance the quality of existing and new data processes (ETL) by incorporating statistical process control and setting up alerts for anomalies at every stage of the pipeline.Create benchmarks for execution times to measure performance effectively.

#PoweringYourIngenuity At Ekumenlabs, our mission is to connect world-class technology companies with exceptional engineering talent from every corner of the globe. With a strong presence in LATAM, the USA, and Europe, we empower businesses by assembling remote engineering teams tailored to each project's unique requirements.Our teams are driven by a passion for technology and are eager to tackle challenges head-on. We value technical expertise along with a commitment to continuous learning. Each development is customized to meet project needs, and our culture encourages the exploration of new languages, tools, and frameworks. Our software engineering teams prioritize best coding practices to ensure that our system designs and developments are readable, reusable, and scalable.We are currently seeking a talented and motivated Data Engineer to join our dynamic team. In this role, you will contribute to maintaining and enhancing a critical data ingestion pipeline that supports essential decision-making processes and ensures our teams work with reliable, high-quality data.You will collaborate closely with data scientists, engineers, and various stakeholders, ensuring smooth data flow, enhancing observability, and continuously seeking ways to improve efficiency.

Join oxio as a Staff Data Platform EngineerAt OXIO, we are pioneering the telecom-as-a-service (TaaS) revolution, empowering brands and enterprises to create and manage proprietary mobile networks tailored to their specific customer needs. Our innovative TaaS solution consolidates multiple networks into a single, cloud-managed platform, enhancing accessibility and operational efficiency for businesses. With comprehensive network access, we provide unparalleled business intelligence that enables enterprises to gain deeper insights into customer and machine behavior. By emphasizing continuous innovation, OXIO allows any company to establish a robust telecom presence while extracting unique customer insights like never before.About the Role:We are on the lookout for an experienced Staff Data Engineer to spearhead the design, development, and scaling of our advanced data platform. This position is perfect for individuals who excel at creating and architecting resilient data systems. You will play a key role in defining our data infrastructure, establishing governance frameworks, and developing scalable APIs that facilitate both real-time and batch analytics.In this capacity, you will be instrumental in assessing, designing, and transitioning our organization toward a visionary data architecture—a forward-thinking foundation that ensures scalable, secure, and intelligent data operations throughout the enterprise.This position encompasses a diverse array of analytics applications across telecom networking, product intelligence, financial reporting, and insights from both internal and external data. You will contribute to the development of a comprehensive Customer 360 platform, leveraging machine learning models and behavioral data to enable advanced functionalities such as fraud detection, brand intelligence, and personalized customer interactions.Key Responsibilities:Architect, construct, and enhance a unified data platform that integrates both internal and external data sources into data lakes and warehouses.Design and execute streaming and batch data pipelines utilizing tools such as Spark, Airflow, and DBT.Lead infrastructure deployment using Terraform and Kubernetes, ensuring that our deployments are both scalable and secure.Evaluate and guide the migration to our visionary data architecture, aligning platform capabilities with the long-term strategic objectives of the business.Collaborate with cross-functional teams to establish logging standards and data governance practices.

Data Engineer Our Story Over the past several years, able has experienced tremendous growth and transformation. We began our journey in 2013 as a product and engineering hub, initially serving a portfolio of early-stage startups. This hybrid model allowed us to refine our skills and establish a strong operational and cultural foundation. Chapter 2: In 2019, we broadened our horizons, successfully expanding our partnerships and delivering high-value solutions to new collaborators. Chapter 3: Now in 2023, we enter an exciting new phase of growth, fueled by our ambition to leverage applied AI in software development. Our commitment to innovation has positioned us to deliver solutions faster than traditional methods, providing substantial value to our partners. About the Role As a Data Engineer, you will play a vital role in supporting the Director of Engineering and collaborating with the Engineering team. This position involves cross-functional partnerships with Product, Design, and Engineering teams to develop robust and scalable data solutions that address critical business needs. Day-to-Day Responsibilities Strategic Architecture Leadership: Shape the vision and roadmap for large-scale data architecture across client engagements. Establish governance, security frameworks, and ensure regulatory compliance. Lead the strategy for platform selection, integration, and scaling efforts. Guide organizations in adopting data lakehouse architectures.

About TrafileaTrafilea is a pioneering Consumer Tech Platform dedicated to Transformative Brand Growth. We are building an AI Growth Engine that fuels the next generation of consumer brands.With over $1 billion in cumulative revenue, more than 12 million customers, and a talented team of over 500 individuals across 19 countries, we integrate technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.As owners and operators of our own digitally native brands (not an agency), we have a significant presence in retail giants like Walmart, Nordstrom, and Amazon, alongside a robust global D2C footprint.

About EnodeAs the energy landscape evolves, the transition towards renewable energy sources is crucial yet progressing slowly. Enode is at the forefront of this transformation, delivering innovative and interconnected solutions.Enode’s advanced platform empowers a new generation of sustainable energy applications by optimizing the connectivity of energy devices through our robust APIs. From electric vehicles to heat pumps, we facilitate flexible energy consumption that emphasizes renewable resources.Collaborating with top-tier energy corporations and green technology pioneers, we provide immediate access to over 250 million consumers, enabling them to engage in more sustainable energy practices.In light of the pressing need for decarbonization, Enode is more crucial than ever, backed by prominent investors such as Y Combinator, Lowercarbon Capital, and Creandum.We are just beginning our journey and are on the lookout for innovative builders to join our mission-driven and passionate team.What We Are Looking For:We are seeking a Data Engineer with a passion for data science to take ownership of and advance Enode’s data platform while collaborating on forecasting and analytics for our Flex product. Your role will ensure that as we grow, our data remains reliable, accessible, and trustworthy across Flex delivery, billing, customer insights, and executive reporting.Working closely with our Data Scientist, Håkon Kongelf, you will influence the delivery of Flex and the next phase of our data platform. You will also engage with engineers across product teams, as well as commercial teams and leadership, to enhance data access and insights.Your contributions will be significant: as part of a small team, your decisions will shape our approach to data across the organization.In this role, you will:Deliver Flex-critical data needs: Design and maintain dependable pipelines and datasets that support Flex models (e.g., demand/availability signals, aggregations, monitoring).Evolve the data platform: Evaluate existing architectures and drive practical enhancements in architecture, tooling, and operational practices.Own data quality and trust: Establish testing, lineage definitions, and safeguards (e.g., dbt tests, anomaly detection, freshness checks) to ensure stakeholders can rely on outputs.Enable self-serve analytics: Develop well-structured datasets that allow teams to independently extract insights.

About TelnyxAt Telnyx, we're not just envisioning the future of global connectivity—we're actively building it. Our efforts span from architecting a private, global, multi-cloud IP network to delivering hyperlocal edge technology right at your fingertips through intuitive APIs. We're dedicated to shaping a new era of seamless interconnection between people, devices, and applications.Our mission is to transform and modernize outdated systems, automate manual processes, and tackle real-world challenges through innovative connectivity solutions. Our success is a testament to our robust financial stability, which allows us to invest in cutting-edge technologies and nurture an environment of continuous learning and growth for our team.We envision a world where borderless connectivity inspires boundless innovation. By joining us, you can play a vital role in laying the foundations for this interconnected future. We are currently looking for enthusiastic individuals eager to contribute to an industry-defining company while advancing their own skills and careers.The RoleThe Telnyx infrastructure team is in the process of creating a next-generation platform that spans multiple cloud providers and continents. We leverage our private backbone network with cross-connects to major cloud providers including AWS, Azure, GCP, and IBM Cloud, to develop a cloud-agnostic, highly available platform. With our agile team, we currently operate infrastructure in 10 Points of Presence (PoPs) across 3 continents.In This Role You WillDesign, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and more, in both virtualized environments and Kubernetes clusters.Collaborate with engineering teams to identify and address challenges in managing large-scale, high-availability data systems.

Actian stands at the forefront of hybrid data management, cloud data warehousing, and data integration technologies. We are proud to partner with esteemed organizations like Bloomberg, Intuit, Lufthansa, and Citibank, enabling them to tackle their most intricate data challenges and drive transformative change through innovative solutions.As a vital member of the Actian and HCL Software family, Zeenea France, headquartered in Paris, is on an exciting trajectory of growth. We are currently in search of a Senior Engineering Manager [gn] who will lead and inspire a team of skilled engineers dedicated to creating world-class data intelligence solutions that simplify, secure, and democratize complex data.In this pivotal role, you will champion technical excellence, nurture innovation, and ensure that our product vision aligns seamlessly with engineering execution. You will collaborate closely with cross-functional teams—product, design, and architecture—to deliver scalable, high-quality software solutions that empower our global data platforms.Join us in a vibrant environment where your leadership will significantly impact team performance, product quality, and the overall engineering culture. As a hands-on technical leader, you will guide your teams in implementing best practices, adopting modern architectures, and optimizing development processes to expedite delivery while upholding Actian’s commitment to excellence.

Join the dynamic team at Nimble Gravity as a Data Engineer, where your expertise will drive innovative data solutions that empower our business objectives. Key ResponsibilitiesDesign, build, and maintain scalable data solutions that align with the organization’s goals.Develop and optimize high-performance data pipelines for extraction, loading, transformation, and orchestration, ensuring they are engineered for scalability and efficiency.Collaborate with cross-functional teams to integrate data sources and enhance data accessibility.Monitor and troubleshoot data processes to ensure reliability and performance.Stay abreast of industry trends to apply best practices in data engineering.

About Thrill LabsThrill Labs is at the forefront of Thrill.com, an innovative crypto gaming initiative dedicated to crafting enchanting and immersive gaming experiences for a worldwide audience. Our mission is to develop a platform that resonates with millions, offering cutting-edge gameplay and a dynamic community. With a top-tier team backing us, we are devoted to creating the next generation of captivating gaming environments.Join UsAre you excited about extracting insights from data to guide strategic initiatives? Do you excel in dynamic settings where your contributions can make a tangible difference? If this resonates with you, consider this opportunity with Thrill Labs, where we are transforming the gaming sector through data-driven creativity in the realm of crypto entertainment.We are seeking a Data Analyst to become an integral part of our team, responsible for deriving, analyzing, and visualizing essential business insights. Your analyses will have a direct impact on product evolution, customer satisfaction, and operational tactics. By harnessing data, you will help define the future of Thrill.com, establishing it as a premier name in the industry.Your ResponsibilitiesData Analysis & Insights: Examine intricate datasets to extract meaningful insights that inform product development, marketing, and operational strategies.Performance Monitoring: Create and sustain dashboards and reports to monitor key business indicators.Stakeholder Collaboration: Partner with product, engineering, operations, marketing, and leadership teams to address and resolve pivotal business challenges.Data Quality & Process Enhancement: Guarantee data integrity, streamline data pipelines, and contribute to the enhancement of internal analytics processes.QualificationsA minimum of 6 years of experience in a data analysis position; leadership experience is advantageous.Proficient in SQL, with a track record of querying large datasets.Basic skills in ETL processes.Expertise in data visualization tools such as Looker, Tableau, or Power BI.Familiarity with Google Analytics and customer behavior tracking tools.A strong analytical perspective, capable of translating data into actionable strategies.