Description

You will support the development and maintenance of data pipelines.

This role is on-site.

Responsibilities

• Develop basic ETL scripts using AWS Glue and PySpark.
• Support S3 ingestion, partitioning, and Lambda triggers.
• Assist with Athena and Redshift DDL, logs, and deployment tasks.
• Perform unit testing and prepare technical documentation.
• Assist with Databricks notebook development and Delta processing.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in Python and SQL.
• Experience with ETL Pipelines and AWS services (S3, Glue, Lambda).
• Familiarity with Snowflake data warehousing.
• Understanding of cloud data pipelines architecture.
• Experience supporting ingestion via Snowpipe.

Preferred Skills

• Familiarity with Databricks.

Key Skills

Education

Any Gradute