Data Engineer (Snowflake | Oracle PL/SQL)

Role: Data Engineer (Snowflake | Oracle PL/SQL)

Location: Gurgaon

Experience: 4 to 6 years

Immediate Joiners Only

• Interview Process:
• Round 1: Virtual (Technical)
• Round 2: F2F
• Round 3 : Client Round – F2F / Virtual

About the Role

We are looking for a Data Engineer with strong expertise in Snowflake and Oracle PL/SQL to support enterprise data platform development and migration initiatives. The role involves building and maintaining data ingestion pipelines using SnapLogic, workflow orchestration via Control-M, and developing optimized ELT solutions in Snowflake.

Key Responsibilities

• Develop and maintain data pipelines using SnapLogic with proper error handling and monitoring.
• Design and implement ELT solutions in Snowflake with focus on performance tuning and cost optimization.
• Support Oracle to Snowflake migration, including translation of PL/SQL logic to Snowflake-native solutions.
• Build and manage job workflows using Control-M (scheduling, dependencies, SLA monitoring).
• Work on data ingestion, transformation, reconciliation, and data quality checks.
• Collaborate with cross-functional teams across DevOps, QA, and business stakeholders.

Required Skills

• Strong hands-on experience in Snowflake (data modeling, ELT, performance tuning)
• Strong experience in Oracle PL/SQL
• Experience with SnapLogic for ETL/ELT pipeline development
• Experience with Control-M for job orchestration and scheduling
• Strong understanding of ETL/ELT concepts and data warehousing
• Knowledge of dimensional modeling and SDLC best practices
• Familiarity with CI/CD, Git, Jenkins, and DevOps practices