Description

You will design, develop, and optimize data pipelines and analytics solutions on Azure.

This role is on-site.

Responsibilities

• Design, develop, and deploy scalable ETL/ELT data pipelines using Spark, PySpark, and Databricks.
• Develop and optimize SQL queries for data transformation and analysis.
• Collaborate with product owners, data architects, and analysts to build data models, Delta Lake structures, and data workflows.
• Build job orchestration and monitoring solutions and ensure data quality across workflows.
• Provide L2/L3 support for Databricks production jobs, resolving incidents and performance issues.

Required Skills

• 8-10+ years overall experience in data engineering or related fields.
• 3–5 years hands-on experience with Databricks and Spark.
• Strong proficiency in SQL and data analysis techniques.
• Experience with ETL processes, data modeling, and performance tuning.
• Familiarity with Python or Scala for data engineering tasks.
• Experience with CI/CD pipelines for Databricks notebooks, jobs, and workflows.
• Proficiency with Azure cloud-based data platforms.

Preferred Skills

• Excellent problem-solving and communication skills.

Key Skills

Education

Any Gradute