11885-Data Engineer (ZISPL Job No 618)

• Building and maintaining ETL pipelines using Snowflake, SQL, Control-M, and Python
• Integrating data from various sources using APIs and automation frameworks
• Designing and optimizing data models for performance and scalability
• Creating and managing STTM (Schema, Table, Transformation, and Mapping) artifacts
• Writing unit tests to ensure accuracy and reliability of data workflows
• Collaborating with data analysts and other stakeholders to gather requirements and deliver solutions
• Documenting pipeline designs, data flows, and transformations for team clarity

Professional Expertise

Must-Have Skills:

• 2-4 years of experience in data engineering or related roles
• Proficiency in Snowflake and strong SQL skills
• Experience with Control-M or similar workflow orchestration tools
• Solid programming skills in Python
• Experience with RESTful API integration
• Understanding of data warehousing and data modelling concepts
• Ability to write unit tests and validate data integrity
• Strong communication and teamwork skills

Education:

• Bachelor’s degree in computer science, Information Systems, or a related field