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.

Key Responsibilities
* 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.
* Troubleshoot pipeline failures and implement automated solutions. Required Technical Skills
* 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. Good to Have
* Azure Data Factory, Azure Databricks, or Microsoft Fabric.
* AWS Glue, Redshift, or Snowflake.
* Apache Kafka or other streaming technologies.
* CI/CD and Git-based development practices.
* Experience with Delta Lake and lakehouse architecture.

Education:
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. The organization combines deep domain expertise with technology, analytics, and process excellence to deliver digitally led, transformative solutions.

📌 Data Engineer (Gurugram)
🏢 WNS
📍 Gurugram