Lead Data Engineer /n Notice period- Should be immediate only /n Experience -7 to 25 years /n Location- Hyderabad only /n Work mode- All 5 days' work from office /n CORE RESPONSIBILITIES /n /n

- Hands-on delivery oversight: review pipelines, SQL, ETL/ELT logic, Spark jobs, reporting outputs and technical deliverables.

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- Mentor junior talent: coach data engineers, data analysts and data quality analysts through daily guidance, reviews and troubleshooting.

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- Data quality and controls: define validation, reconciliation, anomaly checks, lineage awareness and issue triage for finance/reporting data.

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- Engineering governance: enforce coding standards, documentation, reusable patterns, production-readiness and maintainable data solutions.

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- Stakeholder communication: clearly communicate risks, blockers, dependencies and corrective actions to delivery and programme stakeholders.

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- SQL: advanced joins,



window functions, query tuning, data validation and troubleshooting.

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- Python: scripting, data processing, API invocation, automation and pipeline support.

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- ETL/ELT: ingestion, transformation, scheduling, monitoring, error handling and operational support.

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- Apache Spark: Spark SQL, DataFrames/Datasets, batch pipelines, structured-streaming concepts, partitioning and performance tuning basics.

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- Scala / PySpark: ability to understand or develop Spark transformations using Scala or PySpark; Scala hands-on preferred where Spark workloads are Scala-based.

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- Data modelling and governance: warehousing basics, quality checks, reconciliation, auditability and traceable reporting outputs.

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📌 Lead Data Engineer (Hyderabad)
🏢 TEKsystems Global Services in India
📍 Hyderabad