Location: Coimbatore
Experience: 7–12 Years
Employment Type: Full-Time
Interview Process: L1 – Face-to-Face Interview
Notice Period: Immediate Joiners Preferred

Job Summary

We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms and pipelines for enterprise-level systems. The ideal candidate will have strong expertise in Python, SQL, Data Engineering, Cloud Platforms, and Contemporary Data Stack technologies, with hands-on experience in building robust ETL/ELT pipelines, Lakehouse architectures, and cloud-native data solutions.

You will work closely with cross-functional teams to deliver high-quality, secure, and scalable data solutions supporting analytics, machine learning, and business intelligence initiatives.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build and optimize Lakehouse and Medallion architectures.
- Develop robust data models ensuring scalability and performance.
- Implement data governance, data quality, and data validation frameworks.




- Develop and support feature engineering pipelines for ML use cases.
- Work with cloud platforms to build and deploy data solutions.
- Optimize large-scale data processing workflows for performance and cost efficiency.
- Collaborate with data scientists, analysts, and engineers to support business needs.
- Implement CI/CD pipelines and automation for data workflows.
- Ensure data security, integrity, and compliance standards.
- Medallion Architecture
- Data Modeling

Preferred Skills

- Experience with large-scale distributed data systems
- Strong understanding of data warehousing concepts
- Experience with workflow orchestration tools
- Exposure to real-time data processing
- Knowledge of Agile/Scrum methodologies
- Experience working with enterprise-grade data platforms

Interested candidates can share their updated resume

Email: [email protected]
Contact: +91-XXXXXXXXXX

Work Location: In person

📌 Senior Data Engineer (India)
🏢 FindQ
📍 India