Azure Data Engineer

Overview

Senior Data Engineer (Azure)

Experience - 6+ Years

Mode - Hybrid

Location - Gurgaon, Pune, Jaipur, Bangalore, Bhopal

Key Responsibilities

• Data Processing on Azure: Azure Data Factory, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Service, Data Pipeline.
• Provisioning, configuring, and developing Azure solutions (ADB, ADF, ADW, etc.).
• Design and implement scalable data models and migration strategies.
• Work on distributed big data batch or streaming pipelines (Kafka or similar).
• Develop data integration and transformation solutions for structured and unstructured data.
• Collaborate with cross-functional teams for performance tuning and optimization.
• Monitor data workflows and ensure compliance with data governance and quality standards.
• Contribute to continuous improvement through automation and DevOps practices.
  
  

• 6–10 years of experience as a Data Engineer.
• Strong proficiency in Azure Databricks, PySpark, Python, SQL, and Azure Data Factory.
• Experience in Data Modelling, Data Migration, and Data Warehousing.
• Good understanding of database structure principles and schema design.
• Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platforms.
• Experience in DevOps tools (Azure DevOps, Jenkins, Airflow, Azure Monitor) – good to have.
• Knowledge of distributed data processing and real-time streaming (Kafka/Event Hub).
• Familiarity with visualization tools like Power BI or Tableau.
• Strong analytical, problem-solving, and debugging skills.
• Self-motivated, detail-oriented, and capable of managing priorities effectively.
  
  

Skills:- Data engineering, databricks, Data Structures, Python and PySpark