Description

Build and maintain data pipelines, data warehouses, and analytics solutions using cloud and on-premise technologies.

This role is on-site.

Responsibilities

• Design and build data pipelines and applications using AWS, Databricks, Redshift, and Snowflake.
• Develop ETL/ELT processes for batch and real-time data extraction, transformation, and loading.
• Design data lakes and warehouses, managing databases such as Oracle and SQL Server.
• Write and tune advanced SQL queries to support data analysis and application performance.
• Manage the full development lifecycle for data warehouse applications, including requirements, testing, and debugging.

Required Skills

• AWS, Databricks, Redshift, and Snowflake.
• Advanced SQL expertise with performance tuning capabilities.
• Experience with Oracle and SQL Server databases.
• Strong understanding of Data Warehouses and Data Lakes.
• Proven experience in Data Analysis and database management.
• Bachelor's degree in a relevant field.
• 6+ years of professional experience.

Key Skills

Education

Bachelor's degree