Description

You will support database development and data engineering efforts by building optimized data structures and transformation pipelines.

Responsibilities

• Translate data models into efficient, optimized database objects following established governance and naming conventions.
• Develop and implement data transformation and loading processes to maintain tables and views.
• Collaborate with architects and tech leads to convert data requirements into logical data models.
• Document table and view definitions and implement data quality checks.
• Optimize database performance through query improvements, indexing, and structural adjustments.

Required Skills

• 10+ years of experience in data engineering or database development.
• Strong proficiency in SQL and relational database management systems like Snowflake.
• Extensive experience with Python for data processing.
• Hands-on experience with ETL/ELT tools and techniques.
• Experience developing data applications within AWS environments.
• Proficiency with DevOps practices including Jenkins and GitHub.
• Experience with Control M.
• Solid understanding of data warehousing concepts and data governance principles.
• Proven ability to translate existing data models into functional data objects.

Preferred Skills

• Experience with Business Intelligence tools such as Tableau and dashboarding.

Key Skills

Education

Any Graduate