About the Role
We are looking for a Data Engineer to build, maintain and optimise reliable data pipelines and data solutions. The ideal candidate will have strong SQL and Python skills, hands-on experience with ETL/ELT pipelines, and knowledge of cloud data platforms and modern data engineering tools.
Key Responsibilities
• Design, develop and maintain scalable data pipelines and ETL/ELT workflows.
• Build and optimise data transformation processes using SQL, Python and PySpark.
• Work with data platforms and cloud services to ingest, process and manage data efficiently.
• Support data warehousing and lakehouse architecture, ensuring data quality, reliability and performance.
• Collaborate with cross-functional teams to understand data requirements and deliver dependable data solutions.
• Troubleshoot pipeline issues, improve performance and maintain documentation for data workflows.
• Explore and use AI-assisted development tools to improve engineering productivity where appropriate.





Key Skills & Requirements
• Solid proficiency in SQL and Python.
• Hands-on experience in ETL/ELT pipelines.
• Working knowledge of Spark / PySpark.
• Experience with AWS, Azure or GCP.
• Exposure to Databricks, AWS Glue, Azure Data Factory or Microsoft Fabric.
• Knowledge of Data Warehousing and Lakehouse Architecture.
• Familiarity with AI-assisted development tools.

Nice to Have
Snowflake • Delta Lake • Kafka • Airflow • CI/CD
Why Join Us?
• Hands-on Expertise in AWS & Modern Data Technologies
• Opportunity to Work with Enterprise Clients
• Career Growth & Advancement Opportunities
• Continuous Learning & Skill Development
• Competitive Salary & Benefits

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

📌 Data Engineer_2-5yrs_FT(Bhubaneswar Preferred/Remote may be considered) (India)
🏢 Yavda
📍 India