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Mid-level generalist data engineering role in Bengaluru with broad skills and a recognized employer brand.
Core data engineering skills (ETL, SQL, Python, PySpark) are highly transferable across industries.
Requires explicit 3+ years plus hands-on PySpark, Python, SQL and ETL tooling, indicating moderate strictness.
Design, build, and maintain data ingestion, transformation, and egress pipelines managing large data volumes across diverse sources such as Teradata, SAP ERP, and Oracle.
Collaborate with functional teams to understand end-to-end data flows and ensure seamless integration and accurate data delivery meeting customer SLAs.
Provide technical leadership by guiding junior consultants, reviewing code for quality, and supporting production deployment including issue triaging and root cause analysis.
Minimum 3 years of experience in Data Architecture, Data Engineering, or related fields.
Proficient in Python, PySpark, SQL, and ETL tools like SSIS; experience with workflow orchestration tools such as Airflow.
Experience working with data formats and platforms including Parquet, JSON, RESTful APIs, HDFS, Delta Lake, Hive, and Presto.
Strong SQL expertise and experience with version control platforms like GitHub or Azure DevOps.
Hands-on data engineering professional familiar with complex end-to-end data pipelines in enterprise environments.
Experienced in implementing ETL processes with an understanding of both technical and functional data requirements.
Capable technical leader who can manage code quality, provide guidance, and ensure SLA adherence in production environments.