Description

You will design, build, and maintain scalable data pipelines and infrastructure to support business analytics and product teams.

This role is on-site.

Responsibilities

• Design and build scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.
• Create and maintain data warehouses, data lakes, and database systems.
• Integrate data from APIs, databases, and external systems into centralized platforms.
• Implement validation, cleansing, and monitoring processes to ensure data accuracy and quality.
• Optimize pipeline efficiency, scalability, and data access speed.

Required Skills

• 3+ years of experience as a Data Engineer.
• Strong proficiency in Python and SQL (mandatory).
• Experience with Java or Scala.
• Hands-on work with relational databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB).
• Familiarity with ETL tools such as Informatica, Apache Spark, Hadoop, and Kafka.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Knowledge of data modeling and warehousing concepts.

Preferred Skills

• Experience automating workflows and monitoring pipeline reliability.
• Strong communication skills for collaborating with data scientists, analysts, and product teams.

Key Skills

Education

Not specified