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.
Robust 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.
Robust 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 (India)
🏢 Panasonic Life Solutions
📍 India