Job Description
Lead Data Engineer We are hiring a Lead Data Engineer to design, develop, and optimize scalable cloud data platforms and modern ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake. The role involves building and maintaining data lakehouse and data warehouse solutions, developing high-performance data pipelines, enabling analytics and reporting, and contributing to data engineering best practices. Solid hands-on experience in PySpark, SQL, Python/Scala, and cloud data platforms is required. What You Will Do Following are the high-level responsibilities that you will play, but are not limited to: Design, develop, and maintain scalable data pipelines, data models, and ETL/ELT processes. Build and optimize data lake, lakehouse, and data warehouse solutions using Microsoft Fabric, Databricks, or Snowflake. Develop data processing solutions using PySpark, Python, Scala, and SQL. Work with large and complex datasets to improve data processing performance, reliability, and scalability. Develop and maintain batch and real-time data pipelines as required.



Implement data transformation, cleansing, validation, and integration processes. Work with Delta Lake, Spark, Snowflake, Microsoft Fabric, and other modern data engineering technologies. Support business analytics and self-service reporting through Power BI and other visualization platforms. Collaborate with data scientists, analysts, BI developers, and business stakeholders to deliver reliable data solutions. Implement data quality, governance, security, and monitoring practices across data pipelines. Troubleshoot and resolve data pipeline, performance, and production issues. Contribute to the development of coding standards, reusable frameworks, and data engineering best practices. Participate in code reviews and ensure high-quality, maintainable, and scalable solutions. Implement CI/CD practices for data engineering workflows and deployments. Stay updated with emerging data engineering tech

📌 Lead Data Engineer (Hyderabad)
🏢 Thinkwise Consulting
📍 Hyderabad