Lead Data Engineer

3 weeks ago

New Delhi, India NowWiN International Full time

Job Title: Senior Data Engineer Location: Hyderabad/ Indore / Ahmedabad (India) Experience: 7+ years Type: Full-time / Contract Joining: Immediate preferred About the Role We are looking for an experienced Lead Data Engineer to design, build, and maintain scalable data pipelines and ETL workflows using Azure Data Factory (ADF), Databricks, and Power BI / Fabric. You’ll collaborate with analysts, architects, and business stakeholders to deliver end-to-end data solutions that enable data-driven decision-making. This role requires strong technical expertise, cloud data engineering skills, and the ability to mentor junior team members. Key Responsibilities Develop and maintain data pipelines using Azure Data Factory (ADF) and Databricks. Design and implement Power BI / Fabric dashboards for actionable insights. Collaborate with cross-functional teams to understand requirements and deliver solutions. Perform ETL operations — extract, transform, and load data into Azure Data Lake or Azure SQL. Ensure data quality, reliability, and integrity throughout the data lifecycle. Automate repetitive data processes for efficient reporting. Monitor, troubleshoot, and optimize data pipelines for performance and scalability. Write clean, maintainable code for data transformations and automation. Required Qualifications Bachelor’s degree in Computer Science, IT, or related field. 7+ years of experience in Data Engineering, BI Development, or a related field. Hands-on experience with Azure Data Factory (ADF) and Power BI. Strong SQL skills and experience with Azure SQL Database / SQL Server. Proficiency in Python, SQL, or equivalent scripting languages. Knowledge of data warehousing concepts and ETL processes. Experience working with cloud-based data platforms (preferably Microsoft Azure). Strong analytical, troubleshooting, and optimization skills. Preferred Qualifications Experience with Azure Databricks or similar data processing frameworks. Knowledge of Microsoft Fabric and data modeling for Power BI. Familiarity with data lake architecture and performance tuning.

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