Azure Data Engineer

Profile : Senior Data Engineer (Azure)

Experience Required : 6+ Years

Work Mode : Hybrid

Location : Gurgaon, Pune, Jaipur, Bangalore, Bhopal

Employment Type : Full-time

About the Role :

We are seeking an experienced Senior Data Engineer with strong expertise in Microsoft Azure ecosystem to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining enterprise-scale data solutions on Azure, working with cutting-edge cloud technologies and big data platforms.

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.

Required Skills & Experience :

- 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.