Position: Senior Data Engineer (Azure)
Experience- 5+ 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.
Required Skills & Experience:
- 610 years of experience as a Data Engineer.
- Strong proficiency inAzure Databricks, PySpark, Python, SQL, and Azure Data Factory.
- Experience inData 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.
