Description

Design, develop, and maintain scalable data pipelines using Apache Spark and Java.

This role is hybrid.

Responsibilities

• Implement ETL processes to ingest, transform, and store large volumes of data.
• Optimize and tune data processing jobs for performance and cost-efficiency.
• Ensure data quality, integrity, and security across all pipelines and storage solutions.
• Monitor and troubleshoot pipeline issues to ensure high availability.
• Collaborate with stakeholders to define and deliver data solutions.

Required Skills

• 5+ years of professional experience in software engineering.
• Expertise in Apache Spark and Java development.
• Hands-on experience with AWS services: S3, EMR, Lambda, and Glue.
• Proficiency in implementing ETL processes.
• Strong command of SQL and NoSQL databases.
• Experience working with Snowflake.
• Familiarity with CI/CD practices.

Key Skills

Education

Any Graduate