Senior Data Engineer - R01569573

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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