Our Client Currently looking for Data Engineering Consultant – Python/SQL/ETL

Responsibilities :

– Design, build, and optimize ETL/ELT pipelines for batch and streaming data

– Develop and maintain data warehouses and data lakes (e.g. , Snowflake, BigQuery, Redshift)

– Collaborate with data scientists, analysts, and product teams to understand data needs

– Ensure data quality, reliability, and observability across pipelines

– Build and manage orchestration workflows (e.g. , Airflow, Prefect, Dagster)

– Implement best practices for data modeling, partitioning, and performance tuning

– Monitor and troubleshoot data infrastructure issues in production

Requirements :

– 5+ years of experience in data engineering or a related role

– Proficiency in SQL and Python (or Scala/Java)

– Experience with cloud platforms (AWS, GCP, or Azure)

– Hands-on with big data tools : Spark, Kafka, dbt, or similar

– Familiarity with data warehousing concepts and dimensional modeling

– Strong understanding of CI/CD and version control (Git)

Nice to Have :

– Experience with real-time/streaming pipelines (Kafka, Flink, Kinesis)

– Exposure to ML pipelines or MLOps tooling

– Knowledge of data governance and data catalog tools (e.g. , Atlan, Alation)

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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