Description

You will design and implement data pipelines to support analytics and reporting workflows. You will own the translation of SQL and querying languages into modern data tools, build datasets for business intelligence, and define data quality specifications. You will optimize query performance through indexing and tuning, and validate data integrity through rigorous testing.

Responsibilities

• Design and implement data pipelines for analytics and reporting.
• Build and prepare datasets for business intelligence tools.
• Identify business rules and evaluate technical risks like data latency.
• Optimize query performance using indexes, materialized views, and tuning.
• Execute test cases for data validation and deployment readiness.

Required Skills

• 6+ years of experience in data engineering or related roles.
• Proficiency in SQL and PL/SQL.
• Strong experience with Python and database development.
• Experience building reports in Tableau, PowerBI, or AWS QuickSight.
• Knowledge of data ingestion best practices and data design.
• Experience with query performance tuning and application optimization.
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• Experience with TOAD data tools.
• Experience implementing performance tuning specifically for Tableau dashboards.
• Familiarity with AWS DataZone.

Key Skills

Education

Any Graduate