Data Engineer

• Proficient in SQL Server.
• Experienced in SQL, PL/SQL, TSQL or similar database programming.
• Knowledge of data modeling concepts.
• Familiarity with Kafka.
• Experience working with APIs.

Nice to have:

• Experience with DB2.
• Familiarity with Snowflake and S3 storage.
• Experience in building ETL pipelines.
• Understanding of Data and Data Landscape.

• Design and implement ETL pipelines to ensure efficient data processing.
• Collaborate with teams to gather requirements and ensure data alignment across systems.
• Maintain and optimize existing data storage solutions.
• Work with APIs to ensure connectivity between applications.
• Apply data modeling principles to enhance database structures.
• Utilize Kafka for real-time data streaming solutions.