Data Engineer

Key Responsibilities

• Design, develop, and maintain robust ETL processes and data pipelines
• Build scalable data integration workflows using IDMC (Informatica Intelligent Data Management Cloud)
• Develop and optimize SQL queries and database solutions
• Implement data transformation logic using Python and .ksh scripts
• Work with cloud-based data platforms including AWS and AWS Glue
• Support Customer 360 (C360) data integration and management processes
• Ensure data quality, reliability, and performance across data platforms
• Collaborate with cross-functional teams to understand data requirements
• Implement and maintain data warehousing solutions and data models
• Handle both structured and semi-structured data (e.g., JSON, logs, API data)
  
  

• Bachelor?s degree in Information Technology, Computer Science, Engineering, or a related field
• 3 years of professional experience as a Data Engineer or similar role
• Strong experience in ETL processes and data pipeline development
• Hands-on experience with IDMC, ETL tools, SQL, and .ksh scripting
• Strong programming skills in Python
• Solid experience with SQL and relational databases
• Experience working with AWS Cloud services, including AWS Glue
• Knowledge of Customer 360 (C360) platforms is a plus
• Good understanding of data warehousing concepts and data modeling
• Ability to work with structured and semi-structured datasets
• Strong analytical and problem-solving skills
• Good communication and teamwork abilities