Description

You will design and build data infrastructure to support analytics solutions. This role is on-site.

Responsibilities

• Design and implement Data Warehouse, BI, and Analytics solutions.
• Develop and maintain ETL pipelines using SQL, DBT, and PySpark.
• Optimize database performance and ensure data integrity.
• Apply dimensional modeling for efficient data storage and retrieval.
• Collaborate with cross-functional teams in an agile environment.

Required Skills

• 10+ years of professional experience in data engineering.
• Expert proficiency in SQL and DBT.
• Strong programming skills in Python and Spark/PySpark.
• Experience with data warehousing platforms including Redshift and Snowflake.
• Proficiency in DBT Modeling and ETL Pipelines.
• Experience with Tableau for reporting.
• Familiarity with AWS cloud technologies.

Key Skills

Education

Any Graduate