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Senior Data Engineer - R01569573

brillio-2 · Bangalore, Karnataka, India

Data Science / AI / Machine LearningExternal listingfull-timeabout 2 hours ago

About The Role

Senior Data Engineer

Primary Skills

  • ETL Fundamentals, SQL, SQL (Basic + Advanced), Alation, Talend, Python, Data Warehousing, IICS, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

  • ETL Specialization: Senior Data Engineer

Job requirements

Hiring: Snowflake Data Engineer (4-6 Years)

Location: Bangalore/Hyderabad/Pune/Chennai/Gurgaon

Experience: 4-6 Years

We are looking for a talented Snowflake Data Engineer with strong expertise in Snowflake, Matillion (or equivalent ETL tools), AWS, SQL, and Python to join our growing data engineering team.

What You'll Do

  • Design and develop scalable ETL/ELT pipelines using Snowflake and Matillion (or similar ETL tools).
  • Build and optimize data integration, transformation, and ingestion frameworks.
  • Develop robust data models and data warehouse solutions.
  • Collaborate with BI and Analytics teams to deliver high-quality data solutions.
  • Implement data quality, governance, and security best practices.
  • Automate deployments and workflows using Git and CI/CD processes.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

Required Skills

  • Hands-on experience with Snowflake Development and Data Modeling
  • Experience with Matillion, Informatica, IICS, Talend, or similar ETL tools
  • Strong SQL expertise and query optimization skills
  • Experience with AWS Cloud services (preferred)
  • Python scripting and automation experience
  • Knowledge of Data Warehousing concepts, Star & Snowflake Schema
  • Exposure to Git, CI/CD, and Agile methodologies

Good to Have

  • Airflow
  • DBT
  • Snowflake or Cloud Certifications (AWS/Azure/GCP)
  • Experience with large-scale cloud data platforms

Why Join Us?

  • Work on enterprise-scale cloud data transformation initiatives.
  • Exposure to modern data engineering and analytics platforms.
  • Opportunity to collaborate with global teams and customers.
  • Strong learning and growth environment.

Interested candidates can share their updated resume or apply directly.

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