Description

Build and maintain data infrastructure to support analytics needs.

This role is on-site.

Responsibilities

• Design, build, and optimize ETL data pipelines for business intelligence and analytics.
• Develop and maintain data solutions using the AWS cloud platform.
• Write efficient and scalable Python scripts for data processing and automation.
• Ensure data quality, integrity, and performance when working with large datasets.
• Monitor and troubleshoot data workflows and pipeline failures.

Required Skills

• 5+ years of experience as a Data Engineer.
• Hands-on expertise with AWS services (S3, Glue, Redshift, Lambda, or EMR).
• Proficiency in Python programming for data engineering tasks.
• Solid experience in ETL development and data pipeline architecture.
• Experience working with SQL and relational/NoSQL databases.
• Understanding of data warehousing concepts and big data processing.
• Experience collaborating with Data Analysts and Data Scientists.

Preferred Skills

• Experience with workflow orchestration tools like Airflow.
• Exposure to CI/CD and DevOps practices in data environments.

Key Skills

Education

Any Gradute