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Senior Python Data Engineer – ETL & Pipeline Development (5 to 12 yrs)
Senior Python Data Engineer – ETL & Pipeline Development (5 to 12 yrs)AIMLEAP • srikakulam, andhra pradesh, in
Senior Python Data Engineer – ETL & Pipeline Development (5 to 12 yrs)

Senior Python Data Engineer – ETL & Pipeline Development (5 to 12 yrs)

AIMLEAP • srikakulam, andhra pradesh, in
5 hours ago
Job description

Senior Python Data Engineer – ETL & Pipeline Development

Experience : 5 to 12 Years

Location : Remote (WFH) / Bangalore / India

Mode of Engagement : Full-time

No. of Positions : 5

Educational Qualification : B.E / B.Tech / M.Tech / MCA / Computer Science / IT

Industry : IT / Data / AI / LegalTech / Enterprise Solutions

Notice Period : Immediate Joiners Preferred

What We Are Looking For :

  • 5–12 years of hands-on experience building end-to-end ETL pipelines and data workflows from scratch (Python + SQL).
  • Strong expertise in Python for data transformation, automation, and orchestration (Pandas, Airflow, custom schedulers).
  • Ability to write complex SQL queries, optimize performance, and design scalable database schemas.
  • Experience integrating and consuming RESTful APIs for ingestion, transformation, and delivery pipelines.
  • Working knowledge of AWS / GCP / Azure (S3, Lambda, EC2, BigQuery, etc.).
  • Hands-on exposure to Docker, Kubernetes, and CI / CD for deploying ETL & data workloads.
  • Experience building or working with AI-driven / automated data pipelines (preferred).

Responsibilities :

  • Design, architect, and build complete ETL pipelines for multi-system data extraction, cleaning, transformation, and loading.
  • Develop custom Python-based data automation frameworks to improve quality and speed.
  • Build and optimize SQL queries, tables, and database structures for analytics & AI use cases.
  • Create and manage API-based data ingestion / integration workflows.
  • Deploy and maintain workloads using Docker, Kubernetes, and CI / CD tools.
  • Collaborate with product, AI, and analytics teams to deliver intelligent data solutions.
  • Set up data validation, monitoring, logging, and alerting mechanisms for production pipelines.
  • Continuously optimize pipelines for performance, cost, scalability, and reliability.
  • Qualifications :

  • Bachelor’s or Master’s degree in Computer Science / Engineering / IT.
  • Expertise in Python (FastAPI / Flask / Django), SQL, and REST API development.
  • Strong understanding of data modeling, ETL concepts, and pipeline orchestration (Airflow / Prefect / Dagster).
  • Experience with AWS (S3, Lambda, EC2, Glue, Athena) or GCP / Azure equivalents.
  • Hands-on experience with Docker, Kubernetes, and Git-based CI / CD workflows.
  • Strong debugging, problem-solving, and analytical capabilities with ownership mindset.
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