Data Engineer -Snowflake | Oracle PL/SQL | SnapLogic

Job Description – Data Engineer

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

About the Team

The Technology function provides global IT services supporting business applications across revenue, operations, investment, compliance, finance, legal, marketing, and customer service domains. It also includes infrastructure services such as data centers, networks, security, and incident management.