Data Acquisition Specialist

Role Overview Experian is hiring a Data Acquisition Specialist in Lima. This role focuses on strengthening data strategies by sourcing, managing, and improving data acquisition processes. The work supports key business goals and helps maintain Experian’s reputation for data quality. What You Will Do Source new data to support business initiatives Manage and …

About Playtech Playtech is a global provider of gaming and entertainment technology. The company focuses on delivering solutions that support a wide range of projects and ongoing growth. Role Overview: Talent Acquisition Specialist Based in Lima, the Talent Acquisition Specialist will help identify and attract candidates to strengthen Playtech’s teams. This position works closely with hiring managers to support recruitment needs for various projects and company initiatives. What You Will Do Source and engage qualified candidates for open roles Apply recruitment strategies to attract a diverse talent pool Support Playtech’s workforce planning and hiring goals What We Value Experience with recruitment processes and talent sourcing Strong communication and organizational skills Interest in supporting a growing technology company

Join our team as a Data Analyst / Integration Specialist specializing in Azure technologies. In this role, you will be responsible for analyzing, integrating, and optimizing data processes to enhance business insights and decision-making.

Location: Lima, Peru (hybrid). This position requires office attendance in Surquillo 2-3 times per week. Role overview The Data Governance Specialist will join Encora's agile technology team to support and develop digital solutions that address business needs. This role plays a key part in shaping data governance practices and advancing digital product innovation for clients. Requirements Bachelor's degree in Systems Engineering, Software, Computer Science, or a related field At least 3 years of experience in Data Governance Skilled in applying DAMA-DMBOK frameworks Basic understanding of BIAN, COBIT, and DMM Experience with governance frameworks and data governance models Proven ability to develop guidelines, data governance policies, and quality standards Hands-on experience with Databricks and Oracle Expertise in data quality management, including rule implementation and quality dashboards Familiarity with tools such as Collibra, Montecarlo, Hana, Informatica, or similar Proficiency in Copilot Work modalities This is a hybrid role. Regular in-office collaboration in Surquillo is expected 2-3 times per week. Equal opportunity Encora considers only skills and qualifications in hiring decisions. The company welcomes professionals regardless of age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Join our dynamic team at inetum2 as a Data Analyst / Data Integrator specializing in Azure. In this pivotal role, you will be responsible for harnessing data from various sources to provide insightful analysis and integrations that drive business solutions. Your expertise in Azure technologies will be essential in optimizing our data processes and ensuring data integrity.

Join inetum2 as a Data Engineer, where you will play a crucial role in designing, implementing, and maintaining data architectures that drive decision-making processes across the organization. You will work closely with stakeholders to understand their data needs and ensure that the data systems are efficient and scalable.

Join our dynamic team at inetum2 as a Data Custodian, where you will play a crucial role in managing and safeguarding our data assets. This position offers you the opportunity to utilize your analytical skills in a fast-paced environment and contribute to innovative data solutions.As a Data Custodian, you will be responsible for ensuring data integrity, security, and availability within our organization. You will collaborate with various teams to establish best practices for data governance and management.

Join our dynamic team at inetum2 as a Data Analyst / Data Integrator specializing in Azure technologies. We are looking for a proactive individual who is passionate about data integration and analytics. In this role, you will be responsible for analyzing data sources, integrating various data streams, and ensuring the quality and consistency of data across our systems.

Join inetum2 as a Data Engineer, where you will play a pivotal role in transforming and managing data to drive business insights. Your expertise will help in designing and optimizing data systems, ensuring robust data flow, and supporting decision-making processes across the organization.

Credicorp Capital invites you to transform challenges into opportunities and become our next Technical Data Lead for the Center of Excellence in Data and Analytics, located in Lima, Peru.Mission:You will be accountable for the technical execution of data projects, encompassing everything from requirements analysis to the design of data models and transformations. You will lead engineering teams, ensuring adherence to standards and best practices for the successful delivery of every initiative.Key Responsibilities:Encourage the adoption of guidelines, technologies, and standards for Data and Analytics solutions.Design and develop ETL/ELT processes for both structured and unstructured data.Implement scalable and reliable data processes following best development practices.Engage in planning and executing solutions throughout the data project lifecycle.Monitor project task progress, identifying risks and areas for improvement.Select and train data engineers based on business needs.Manage the data engineering team and the relationship with suppliers within the operational model.Qualifications:University degree in Computer Engineering, Systems Engineering, or Computer Science.At least 1 year of experience in cloud data integration development, specifically with Azure and DataBricks.A minimum of 2 years as a technical lead in Data projects.Over 3 years of experience with various relational databases (PostgreSQL, MySQL, Oracle, SQL), analytical databases (Redshift, BigQuery), NoSQL databases (MongoDB, Redis), and different file formats (Avro, Parquet).Proven experience in data modeling.Relevant courses or diplomas in Data and Analytics.Familiarity with Scrum Master or Agile Practices (desirable).Knowledge of Data Vault 2.0 (desirable).Intermediate proficiency in PySpark, Python, R, or Scala.Understanding of CI/CD / Data Ops best practices.Experience with automated testing best practices.Knowledge of best practices and experience in tuning and optimizing processes.Awareness of development standards and practices.Other Skills:Analytical skills for problem-solving.Design of complex data integration solutions.Effective communication skills (clear, simple, and efficient).Planning capabilities.Desirable experience in...

inetum2 is looking for a passionate and detail-oriented Junior Data Analyst to join our dynamic team in Lima. In this role, you will be responsible for analyzing data to help drive business decisions and improve operational efficiency. You will work closely with senior analysts to gather insights, create reports, and present findings to stakeholders.

Join inetum2 as a Junior Data Analyst and embark on a journey to uncover valuable insights through data analysis. In this role, you will be responsible for gathering, processing, and analyzing data to assist our clients in making informed decisions. Collaborate with a dynamic team in a fast-paced environment and contribute to impactful projects.

We are seeking a visionary leader to join our team as the Head of Data and AI. In this role, you will spearhead our data-driven initiatives and lead the integration of artificial intelligence into our business processes. You will collaborate with cross-functional teams to leverage data analytics and AI technologies to drive innovative solutions that enhance our operations and customer experience.

WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors each month through prominent brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As a pioneer in connecting consumers with top-tier brands through data-centric content and technology, we are committed to innovation.With our headquarters in South Florida, our remote-first team spans over 15 countries, fostering a high-growth, high-performance culture that prioritizes speed, ownership, and measurable impact.WHY JOIN US?At Launch Potato, you’ll fast-track your career by taking charge of outcomes, driving impact, and collaborating with a global team of high achievers.

Join our dynamic team at inetum2 as a Data Analyst specializing in Azure. In this role, you will leverage your analytical skills to interpret complex data sets, contributing to our mission of delivering top-notch solutions to our clients. Your expertise in Azure will be pivotal in optimizing our data processes and enhancing our analytical capabilities.

Join Credicorp Capital and take the lead in executing technical data and analytics initiatives, transforming business needs into scalable, reliable data solutions that adhere to corporate standards. As the Data Tech Lead, your mission is to ensure the successful technical implementation of data projects, guiding engineering teams from requirement analysis to production deployment while ensuring quality, performance, and sustainability of the solutions.Your goal is to design, oversee, and evolve integration, modeling, and data processing solutions, promoting best practices in engineering, DataOps, and architecture in coordination with architects, data governance, product owners, and technology teams.Main ResponsibilitiesDesign and lead the implementation of data integration and processing solutions (ETL/ELT) for both structured and unstructured data.Define and promote technical standards, architectural guidelines, and best practices in data engineering.Supervise the design and implementation of analytical and integration data models.Ensure the scalability, reliability, and quality of data pipelines in production environments.Actively participate in the technical planning of data projects, estimating efforts, risks, and dependencies.Monitor the technical progress of initiatives, identifying improvement opportunities and mitigating risks.Lead and technically support data engineers, aiding their development and accelerating their onboarding process.Coordinate technical relationships with external vendors and teams within the operational model.Ensure the correct application of CI/CD practices, DataOps, and automated testing in data solutions.Experience and SkillsAt least 1 year of experience as a Technical Lead in Data or Analytics projects.Experience in data integration and processing using Azure Data Factory and Databricks.Design and implementation of complex data integration solutions.Solid experience in data modeling.Over 3 years of experience working with relational databases (PostgreSQL, MySQL, Oracle, SQL Server), analytical databases (Redshift, BigQuery), and NoSQL databases (MongoDB, Redis).Experience applying best practices in CI/CD, DataOps, and automated testing.Experience in optimizing and tuning data processes.Strong analytical capabilities and problem-solving orientation.Clear and effective communication with stakeholders.

Join inetum2 as a Data Technical Custodian, where you will play a pivotal role in managing and safeguarding our clients' data assets. Your expertise will ensure the integrity and accessibility of crucial information, driving data-driven decision-making and enhancing operational efficiency.

Join Credicorp Capital and transform challenges into opportunities as our next Data Scientist - Risk Analytics for the Center of Excellence in Data and Analytics.Mission:Drive business impact through the implementation of data analytical solutions.Main Responsibilities:Identify analytical opportunities aligned with business needs.Access, transform, and analyze data from various sources.Design and execute analytical experiments.Effectively communicate analytical findings, tailoring the message to various business profiles through visualizations and storytelling.Develop predictive and prescriptive models using machine learning techniques or optimization based on backlog use cases.Monitor the performance of production models and associated indicators, proposing adjustments or retraining when necessary.Document processes and models.Application Requirements:Graduated or holds a bachelor's degree in Statistics, Systems Engineering, Mathematics, Economics, or related fields.Desirable diplomas or master's degree in Data Science or Artificial Intelligence.Minimum of 4 years of general experience in data and analytics or related fields.At least 2 years of experience in Risk Analytics, Credit Scoring, or Risk Modeling.Preferred experience in the financial sector (banking, insurance, or investment).Advanced proficiency in Python (Deep Learning, Machine Learning libraries, and data visualization).Advanced SQL skills.Proficiency in visualization tools such as PowerBI or similar.Knowledge of Databricks and Azure.This announcement is open to individuals with disabilities.

We are seeking a passionate Junior Data Integration Engineer to join our dynamic team at inetum2. In this role, you will be responsible for supporting data integration projects, ensuring seamless data flow between various systems and platforms. You will collaborate closely with cross-functional teams to understand integration requirements and implement effective solutions.

Join inetum2 as an Advanced Data Integration Engineer and leverage your skills in data integration to drive impactful solutions. In this role, you will work with cutting-edge technologies to ensure seamless data flow across platforms, enhancing our clients' capabilities. Your expertise will be crucial in designing, developing, and implementing data integration processes that align with business objectives.