Description

You will design, develop, and maintain scalable data systems, pipelines, and infrastructure for data management, governance, and business intelligence.

This role is on-site.

Responsibilities

• Translate business needs into technical requirements and drive end-to-end project ownership from planning to deployment.
• Design and develop scalable data assets for ETL/ELT processes from diverse sources.
• Build, operate, and optimize highly scalable data pipelines and infrastructure.
• Implement and enforce best practices for data lineage, observability, and governance.

Required Skills

• 7+ years of professional experience in data engineering, focusing on scalable data pipelines and ETL/ELT workflows.
• Proficiency in SQL and Python for data extraction and processing.
• Hands-on experience with AWS and Snowflake within modern data stack architecture.
• Experience with PySpark and AWS Glue/EMR for data transformation.
• Hands-on experience with orchestration tools like Apache Airflow and AWS Step Functions.
• Experience with CI/CD pipelines using Git, Jenkins, and Terraform.
• Familiarity with database systems such as PostgreSQL, MySQL, and DynamoDB.

Key Skills

Education

Any Graduate