Data Engineer with SQL

Job Title

Data Engineer Experience – 4 to 5 years

Location

PAN India

Duration

Contract (6–12 months, extendable)

Job Summary

We are looking for a skilled Data Engineer with 4–5 years of experience to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have strong hands-on experience with Azure data services, including Databricks and Data Factory, along with a solid understanding of modern data architecture.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory
• Build and optimize data processing workflows using Azure Databricks
• Develop and manage data warehouse solutions (star/snowflake schema, data modeling)
• Integrate data from multiple sources (APIs, databases, flat files, etc.)
• Ensure data quality, integrity, and performance across pipelines
• Collaborate with data analysts, business teams, and stakeholders for requirements gathering
• Monitor and troubleshoot data workflows and production issues
• Implement best practices for data governance, security, and scalability

Required Skills & Qualifications

• 4–5 years of experience in Data Engineering
• Strong hands-on experience with Azure Data Services
• Data Warehousing concepts and tools
• Proficiency in SQL and Python / PySpark
• Experience with data modeling and performance tuning
• Familiarity with Azure ecosystem (Azure Storage, Synapse, etc.)
• Understanding of ETL/ELT frameworks and best practices

Requirements added by the job poster

• 4+ years of work experience with Azure Data Factory
  ~• 4+ years of work experience with Azure Databricks