About the Role

We are looking for an experienced Senior Data Engineering to join our team and lead the delivery of data engineering projects for our clients.

Key Responsibilities

- Lead and deliver end-to-end data engineering projects.
- Work closely with clients and internal teams to understand requirements and deliver solutions.
- Guide and mentor Data Engineers and ensure quality delivery.
- Design and review data pipelines, ETL/ELT processes and data solutions.
- Troubleshoot technical issues and ensure timely project delivery.
- Contribute to technical architecture, best practices and process improvements.

Requirements

- 5+ years of experience in Data Engineering.
- Advanced SQL, Python, and Spark / PySpark
- Expertise in ETL/ELT and Distributed Data Processing
- Strong experience with AWS, Azure or GCP
- Hands-on experience with modern data platforms such as Databricks, Snowflake, or Microsoft Fabric
- Data Warehouse, Lakehouse, and Data Platform Architecture




- Performance Optimization, Data Quality and Production Support
- CI/CD, DevOps and AI-assisted Engineering
- Technical Leadership and Mentoring

Why Join Us?

- Chance to Work with Enterprise Clients
- Expertise in Enterprise Data Architecture & Cloud Platforms
- Technical Leadership & Mentoring Opportunities
- Career Growth & Leadership Advancement
- Competitive Salary & Benefits

If Interested? Send us your resume at [email protected] with the subject “Senior Data Engineer.”

Benefits

- Paid time off

Application Question(s):
- How many years of relevant experience do you have?
- What is your current notice period in your company?
- What is your current CTC per annum (in INR)?
- What is your expected CTC per annum (in INR)?

Work Location: In person

📌 Senior Data Engineer_5-10yrs_FT(Bhubaneswar Preferred/Remote may be considered) (Nayapalli)
🏢 Yavda Analytics
📍 Nayapalli