Talent.com
Senior Data Engineer – ETL & Pipeline Development (7 to 12 yrs)

Senior Data Engineer – ETL & Pipeline Development (7 to 12 yrs)

AIMLEAPludhiana, punjab, in
1 day ago
Job description

Senior Data Engineer – ETL & Pipeline Development

Experience : 7 to 12 Years

Location : Remote (Work from Home) / Bangalore / India

Mode of Engagement : Full-time

No. of Positions : 2

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 :

  • 7–12 years of hands-on experience in designing, developing, and deploying end-to-end data pipelines and ETL workflows — not just using prebuilt tools, but building from scratch using Python and SQL.
  • Strong command of Python programming for data transformation, orchestration, and automation (e.g., using Pandas, Airflow, or custom schedulers).
  • Solid experience in writing complex SQL queries , optimizing database performance, and designing schemas for large-scale systems.
  • Proven experience integrating RESTful APIs for data ingestion, transformation, and delivery pipelines.
  • Working knowledge of AWS / GCP / Azure for data storage, processing, and deployment (S3, EC2, Lambda, BigQuery, etc.).
  • Practical exposure to Docker, Kubernetes , and CI / CD pipelines for automating and deploying ETL and data workloads.
  • Familiarity with AI-driven data pipelines or automation workflows is an added advantage.

Responsibilities :

  • Design, architect, and build ETL pipelines from the ground up to extract, clean, transform, and load data across multiple systems.
  • Develop and deploy custom Python-based data frameworks to automate workflows and improve data quality.
  • Build and maintain high-performance SQL queries and database structures to support analytics and AI teams.
  • Develop and integrate API-based data ingestion systems (internal and external).
  • Deploy and manage workloads using Docker, Kubernetes, and CI / CD tools ensuring high availability and version control.
  • Work closely with product, AI, and analytics teams to deliver intelligent, automated data solutions .
  • Implement data validation, monitoring, and alerting mechanisms for production pipelines.
  • Continuously optimize pipeline performance, cost efficiency, and scalability in cloud environments.

    • Qualifications :

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Proficiency in Python (FastAPI, Flask, or Django) , SQL , and REST API design .
  • Strong understanding of ETL principles, data modeling, and pipeline orchestration (Airflow / Prefect / Dagster).
  • Experience working with AWS (S3, Lambda, EC2, Glue, Athena) or equivalent GCP / Azure components.
  • Hands-on exposure to Docker, Kubernetes , and Git-based CI / CD workflows.
  • Excellent problem-solving, debugging, and analytical skills with an ownership mindset .
    • Create a job alert for this search

    Senior Data Engineer • ludhiana, punjab, in