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Generative AI Data Engineer

Tiger AnalyticsRemote — United States
Remote Full-time

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Experience Level

Experience

Qualifications

Technical Skills Required:Programming Languages: Proficiency in Python, SQL, and PySpark. Data Warehousing: Experience with Snowflake, NoSQL, and Neo4j. Data Pipelines: Expertise in Apache Airflow. Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS Batch, SageMaker processing jobs, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, BigQuery, GKE). Operating Systems: Experience with Linux. Batch/Realtime Pipelines: Proven experience in constructing and deploying diverse pipelines. Version Control: Proficiency in GitHub. Development Tools: Expertise in VS Code. Engineering Practices: Proficient in testing, deployment automation, and DevOps/SysOps practices. Communication: Excellent presentation and communication skills. Collaboration: Experience in working with both onshore and offshore teams.

About the job

Tiger Analytics is on the lookout for skilled Machine Learning Engineers with expertise in Generative AI to join our rapidly expanding advanced analytics consulting firm. Our team members possess profound knowledge in Machine Learning, Data Science, and Artificial Intelligence, making us the preferred analytics partner for a number of Fortune 500 companies. We empower these organizations to derive significant business value from their data. Our leadership and impact have been acknowledged by prestigious market research firms, including Forrester and Gartner.

Join us in our quest to assemble the world's finest analytics consulting team. In this role, your responsibilities will include:

About Tiger Analytics

At Tiger Analytics, we pride ourselves on delivering innovative analytics solutions that drive significant business transformation. Our consultants are recognized for their deep technical expertise and ability to translate complex data into actionable insights. We are committed to fostering an inclusive and collaborative environment that empowers our employees to excel.

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