Role & responsibilities

- Design, implementation, and improvement of processes & automation of Data infrastructure

- Tuning of Data pipelines for reliability & performance

- Building tools and scripts to develop, monitor, and troubleshoot ETLs

- Perform scalability, latency, and availability tests on a regular basis.

- Perform code reviews and QA data imported by various processes.

- Investigate, analyze, correct and document reported data defects.

- Create and maintain technical specification documentation.

Preferred candidate profile

- B.Tech/BS degree in Computer Science, Computer Engineering, Statistics, or other Engineering disciplines

- 6+ years of experience in data engineering, building scalable and reliable data pipelines in production environments.

- Strong experience with any cloud data platforms such as Azure/ AWS/ GCP.





- Hands-on expertise with distributed data processing frameworks such as Apache Spark for large-scale batch and/or streaming data processing.

- Expert-level SQL skills with the ability to write optimized queries, perform complex transformations, and tune queries for large-scale analytical workloads.

- Proficiency in Python for data engineering tasks including pipeline development, automation, data transformations, and integration with APIs or cloud services.

- Robust knowledge of data modeling techniques, including dimensional modeling, star/snowflake schemas, and designing data models optimized for analytics and reporting.

- Experience designing scalable ETL/ELT architectures, ensuring high data quality, reliability, and performance for large-scale data platforms.

Strong experience or knowledge of Databricks will be a plus.

📌 Lead Data Engineer (Chennai)
🏢 Flexi Careers India
📍 Chennai