Description

You design, build, and maintain scalable data pipelines and ETL/ELT processes for large-scale structured and unstructured data.

This role is on-site.

Responsibilities

• Develop data transformation frameworks using Java and Apache Spark.
• Write complex SQL queries, stored procedures, and performance-tuned solutions.
• Integrate data from multiple sources into enterprise data lakes and warehouses.
• Monitor, troubleshoot, and optimize data processing jobs for reliability.
• Support CI/CD deployment and automation of data engineering workflows.

Required Skills

• 10+ years of experience in Data Engineering.
• Proficiency in Azure Databricks and Apache Spark.
• Strong programming skills in Java.
• Expertise in ETL/ELT process design and maintenance.
• Advanced SQL skills, including complex queries and stored procedures.
• Experience with enterprise data lakes and data warehouses.
• Knowledge of data governance, security, and quality standards.
• Familiarity with CI/CD pipelines and DevOps practices.

Preferred Skills

• Experience collaborating with data architects and analytics teams.
• Ability to translate business requirements into technical solutions.

Key Skills

Education

Bachelor's degree