Data Engineer

Job Description – Azure Data Engineer

Job Title: Azure Data Engineer

Experience: 6+ Years

Location: Chennai

Employment Type: Full-Time / FTE

Job Summary

We are looking for an experienced Azure Data Engineer with 6+ years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions using Python, Apache Spark, Azure Databricks, and Snowflake. The ideal candidate should have strong expertise in data processing, ETL/ELT pipelines, data transformation, and cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on Azure.
• Develop data processing and transformation solutions using Python and Apache Spark.
• Build and optimize data engineering workloads using Azure Databricks.
• Develop PySpark applications for large-scale data processing and transformation.
• Design and implement data ingestion pipelines from multiple structured and unstructured sources.
• Work with Snowflake for data loading, transformation, data modeling, and performance optimization.
• Implement data integration between Azure Databricks and Snowflake.
• Perform data cleansing, validation, transformation, and quality checks.
• Optimize Spark jobs, Databricks notebooks, SQL queries, and data pipelines for performance and scalability.
• Develop reusable frameworks and components for data processing and ingestion.
• Troubleshoot data pipeline failures, performance issues, and data quality problems.
• Collaborate with Data Architects, Analysts, Developers, and business stakeholders to understand data requirements.
• Follow best practices for data security, governance, monitoring, and operational support.
• Participate in code reviews, technical documentation, testing, and deployment activities.

Mandatory Skills

• 6+ years of experience in Data Engineering
• Python – Strong
• Apache Spark / PySpark – Strong
• Azure Databricks – Strong
• Snowflake – Strong
• Strong experience in ETL/ELT and data pipeline development
• Strong SQL and data transformation skills
• Experience working with large-scale datasets and distributed data processing
• Good understanding of Azure cloud data engineering concepts