Tech Stack

Description

You will support the design, development, and maintenance of data pipelines and infrastructure. Partner with senior engineers and analytics teams to ensure data is reliable, well-structured, and accessible for reporting and analytics.

Requirements

• 1–3 years experience in data engineering or analytics engineering
• Proficient in SQL
• Experience with Python or similar language for data processing
• Familiarity with Apache Airflow or other orchestration tools
• Exposure to AWS services such as S3, Redshift, Glue, Athena, or Lambda

Responsibilities

• Assist in building, maintaining, and optimizing scalable data pipelines
• Contribute to developing and maintaining ETL/ELT workflows
• Support workflow scheduling and monitoring using Apache Airflow
• Work with distributed processing frameworks such as Apache Spark
• Implement data validation checks and monitoring for quality and governance