Data Engineer

Job Title: Azure Data Engineer

Experience: 5+ Years

Location: Remote (1–2 days/month at any client office – PAN India)

Occasional travel: 1–2 days/month to any nearby client office location-Noida, Gurgaon, Indore, Bangalore, Hyderabad, Pune, Chennai

We are seeking experienced Azure Data Engineers with strong expertise in modern data platforms and cloud technologies. The ideal candidate should have hands-on experience with Azure Databricks, Azure Data Factory (ADF), SQL, Snowflake, Python, and traditional ETL/Data Warehousing concepts.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Azure Data Factory and Databricks.
• Perform data ingestion, transformation, and orchestration using Spark and Python.
• Develop and optimize complex SQL queries for data transformation and reporting.
• Integrate with Snowflake and other cloud data platforms for advanced analytics.
• Collaborate with data architects, analysts, and business teams to deliver end-to-end solutions.
• Monitor and troubleshoot performance and reliability issues in data pipelines.
• Ensure data quality, consistency, and security across the data lifecycle.

Required Skills:

• 5+ years of experience in data engineering or related roles.
• Strong hands-on experience with:
• Azure Databricks (Spark-based transformations)
• Azure Data Factory (ADF pipelines, triggers, integration runtime)
• SQL (T-SQL/PL-SQL)
• Python (for scripting and data processing)
• ETL tools and Data Warehousing (DWH) concepts
• Snowflake.
• Experience with version control tools like Git and CI/CD practices.
• Good understanding of data modeling, partitioning, and performance tuning.

Nice to Have:

• Knowledge of Azure Synapse, Azure Data Lake Storage (ADLS), Power BI.
• Experience working in Agile delivery environments.
• Azure Data Engineer Associate or equivalent certification.