Description

You will design and maintain scalable data engineering solutions on AWS and Databricks.

This role is hybrid.

Responsibilities

• Design and develop scalable ETL pipelines using Apache Spark and PySpark.
• Write complex data transformations using Spark SQL.
• Deploy and manage data solutions using cloud and DevOps tools.
• Translate business requirements into technical data models and processing logic.

Required Skills

• 8+ years of experience in Data Engineering.
• Proficiency in Python for data engineering use cases.
• Hands-on experience with Apache Spark, PySpark, and Spark SQL.
• Experience working with Databricks.
• Knowledge of relational databases (Oracle, SQL Server) and NoSQL (MongoDB).
• Familiarity with AWS cloud platforms.

Preferred Skills

• Experience with Java or Scala in big data ecosystems.
• Knowledge of DevOps practices for data pipelines.

Key Skills

Education

Any Graduate