Description

You will build and maintain scalable data architectures and ETL pipelines.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines to support data integration and transformation.
• Develop complex SQL queries, stored procedures, and performance-tuned scripts for extraction and reporting.
• Monitor, troubleshoot, and optimize ETL processes for performance, reliability, and scalability.
• Collaborate with cross-functional teams to translate data requirements into technical solutions.
• Document ETL workflows and provide ongoing support for data-related issues.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in SQL, including query optimization, indexing strategies, and schema design.
• Proficiency with SQL Server, Snowflake, and PostgreSQL.
• Experience with Python scripting for data processing and automation.
• Hands-on experience with AWS tools including AWS Glue, AWS Data Pipeline, and Amazon Redshift.
• Strong understanding of relational databases and data warehouse technologies.
• Proven ability to build and manage ETL processes.
• Any graduate degree.

Key Skills

Education

Any Gradute