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Lead Data Engineering

Contract

DVG TECH

Cloud data warehouse / lakehouse — Amazon Redshift or Databricks. Real production ownership: modeling, performance tuning, cost management, workload isolation.

Python

Apache Airflow — authoring and operating DAGs at scale; dependency management, retries, SLAs, observability.

dbt — model design, testing, macros, documentation, CI/CD for transformations.

Data movement / ingestion tooling — e.g. Fivetran, Airbyte, AWS DMS, Kafka/Kinesis, or custom CDC and API ingestion frameworks.

Open table formats — Apache Iceberg / Delta Lake / Hudi . Partitioning, schema evolution, compaction, time

travel.

Apache Spark — PySpark or Spark SQL for large-scale batch/streaming transformation.

SQL — advanced, including window functions and query optimization.

Data Governance & Data quality & observability tooling (Great Expectations, Monte Carlo, Elementary)

To apply for this job email your details to Rama@dvgts.com

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