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Remote, mid-level generalist Data Engineer in Bangalore attracts high applicant density.
Core data engineering skills are transferable across industries but require specific tool experience.
Explicit 5–7 years and mandatory stack (Python, SQL, Spark, cloud) raise screening strictness.
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Design, develop, and maintain scalable batch and real-time data pipelines and ETL/ELT workflows.
Build and optimize data warehouses, data lakes, and data models ensuring data quality and performance.
Collaborate cross-functionally with Data Science and Engineering teams to deliver reliable data for analytics and ML applications.
5–7 years of experience in Data Engineering or similar role.
Strong programming skills in Python or another programming language.
Proficient in SQL and experience with ETL/ELT pipeline development.
Experience with Spark/PySpark, cloud platforms (AWS, Azure, or GCP), and workflow orchestration tools (Airflow, Dagster, or similar).
Experienced with large-scale distributed data systems and complex datasets.
Strong understanding of data modeling, database design, and optimizing data processing workflows.
Skilled in implementing data validation, monitoring, testing frameworks, and maintaining CI/CD pipelines.