Roles and Responsibilities :

- Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Data Lake Storage.

- Collaborate with cross-functional teams to gather requirements for ETL processes and design scalable data models for complex datasets.

- Develop SQL queries and Power BI reports to analyze business intelligence insights from the extracted data.

- Troubleshoot issues related to ADF pipeline failures, data quality problems, and performance optimization.

Job Requirements :

- 7+ years of experience in Data Engineering, Data Platforms, Analytics Engineering, or a related technology role.

- Robust hands-on expertise in SQL, Python, PySpark/Spark, ETL/ELT, data modelling, integration, and data warehousing.

- Experience with Azure Data Factory,



Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, or comparable cloud data technologies.

- Strong understanding of Data Lake, Data Warehouse, Lakehouse, Medallion Architecture, APIs, Git, CI/CD, DevOps, and automated testing.

- Proven project delivery experience covering planning, estimation, scheduling, risk and dependency management, stakeholder engagement, and vendor coordination.

- Strong knowledge of data quality, governance, security, monitoring, performance optimization, and production support.

- Excellent communication, analytical thinking, problem-solving, and stakeholder-management skills

📌 Senior Data Engineer (Gurugram)
🏢 Panasonic Life Solutions
📍 Gurugram