Description

Develop complex SQL queries, stored procedures, and performance-tuned scripts for data extraction, transformation, and reporting

Strong expertise in SQL, including query optimization, indexing strategies, and schema design

Proficiency in relational databases and data warehouse technologies, such as SQL Server, Snowflake, and PostgreSQL

Experience with Python scripting for data processing and automation

Hands-on experience with AWS or equivalent data engineering tools such as AWS Glue, AWS Data Pipeline, and Amazon Redshift. Design, develop, and maintain ETL pipelines to support data integration and transformation

Design, develop, and maintain scalable ETL pipelines to support data integration and transformation

Collaborate with cross-functional teams to understand data requirements and deliver solutions

Monitor, troubleshoot, and optimize ETL processes for performance, reliability, and scalability

Document ETL workflows and provide ongoing support for data-related issues

Key Skills
Education

Any Gradute

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