We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have hands-on experience in ETL/ELT development, data integration, data modelling, and cloud-based data engineering platforms.
Design, develop, and maintain scalable ETL/ELT data pipelines.

- Build and optimize data ingestion, transformation, and processing workflows.
- Work with structured and unstructured data from multiple sources.
- Develop data models, data warehouses, and data lake solutions.
- Implement data quality checks, validation, and monitoring mechanisms.
- Optimize SQL queries and improve data pipeline performance.
- Collaborate with data scientists, ML engineers, and business stakeholders.
- Ensure data security, governance, and reliability across data platforms.
- Solid programming experience in Python.
- Excellent SQL knowledge and experience with relational databases.




- Hands-on experience with ETL/ELT tools and frameworks.
- Experience with Apache Spark / PySpark.
- Knowledge of data warehousing concepts and dimensional modelling.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Familiarity with data orchestration tools such as Apache Airflow.
- Understanding of data lakes, data pipelines, and distributed processing.

Azure Data Factory, Azure Databricks, or Microsoft Fabric.

- AWS Glue, Redshift, or Snowflake.
- Experience with Delta Lake and lakehouse architecture.

Bachelor's or Master's degree in Computer Science, IT, Engineering, or a related field.

~ Company Description WNS, part of Capgemini, is a global agentic AI-powered intelligent operations and transformation company serving over 700 clients across multiple industries.

📌 Data Engineer - ML & AI (Gurugram)
🏢 WNS Denali
📍 Gurugram