Website:
yavda.com
Job details:
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
- Strong 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
If Interested?
Send us your resume at recruit@yavda.in with the subject “Data Engineer.”
Click on Apply to know more.