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Tier-1 employer, mid-level Data Engineer role in Bangalore with broad skill requirements increases competition.
Core data engineering skills are transferable, but manufacturing and supply-chain domain experience increases industry specificity.
Mandatory 3+ years plus specific ETL, PySpark, SQL and platform experience enforces moderate shortlisting filters.
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Design and implement data ingestion, transformation, and validation pipelines for manufacturing data, ensuring integration with multiple enterprise systems.
Manage production deployment, issue triaging, and batch automation to ensure SLA compliance and accurate data delivery.
Provide technical guidance and code reviews to junior consultants, promoting best practices and quality standards.
Minimum 3 years of experience in Data Architecture, Data Engineering, or related fields.
Strong hands-on expertise with Python, PySpark, SQL, and ETL tools (e.g., SSIS), and workflow management tools like Airflow.
Experience with relational databases (Teradata, SQL Server, Oracle, Sybase), data formats (Parquet, JSON), APIs, and cloud data platform technologies.
Work Experience Required: Minimum 3+ years as explicitly mentioned.
Experience in handling complex, large-volume data pipelines and enterprise data integrations across diverse source systems.
Capable of providing technical leadership within a technical consultancy context, with focus on quality and industry standards.
Familiar with agile methodologies and modern data engineering tools, indicating readiness to work in fast-paced, technology-driven environments.