Job Description
Location- Bangalore, Mumbai, Pune
Core (required)
6-8 years
of experience in data engineering
Proficient in
Python programming
— data pipeline development, transformation logic, and automation scripts
Proficient in data query and analysis using
SQL , with strong hands-on experience in
BigQuery
— partitioning, clustering, materialised views, and time-series query patterns at scale
Hands-on experience building and scheduling pipelines using
Cloud Composer (Apache Airflow)
— DAG authoring, SLA alerting, retry logic, and dependency management
Working knowledge of
Dataproc (Apache Spark)
— batch ingestion, Delta Lake merge operations, and incremental data processing
Proficient in
AI-assisted development tools
such as GitHub Copilot, Cursor, or others for accelerating code generation and enhancing developer productivity
Code versioning and collaboration using
Core (required)
6-8 years
of experience in data engineering
Proficient in
Python programming
— data pipeline development, transformation logic, and automation scripts
Proficient in data query and analysis using
SQL , with strong hands-on experience in
BigQuery
— partitioning, clustering, materialised views, and time-series query patterns at scale
Hands-on experience building and scheduling pipelines using
Cloud Composer (Apache Airflow)
— DAG authoring, SLA alerting, retry logic, and dependency management
Working knowledge of
Dataproc (Apache Spark)
— batch ingestion, Delta Lake merge operations, and incremental data processing
Proficient in
AI-assisted development tools
such as GitHub Copilot, Cursor, or others for accelerating code generation and enhancing developer productivity
Code versioning and collaboration using
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