Job Description: Experience working with cloud platforms such as AWS, GCP, or Azure

Responsibilities: Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and process large volumes of structured and semi-structured data.
Develop and optimize data models, tables, and transformations to support analytics, reporting, and downstream data consumption.
Work with large datasets using SQL, PySpark, and up-to-date data platforms such as Snowflake and Databricks to ensure productive data processing.
Build and manage data workflows using orchestration tools such as Apache Airflow, ensuring reliable and timely data delivery.
Develop automation scripts using Shell Scripting and Python to support data pipeline execution, monitoring,



and operational efficiency.
Monitor, troubleshoot, and optimize data pipelines to improve performance, scalability, and reliability across the data ecosystem.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and enable data-driven insights
Ensure adherence to data engineering best practices, including data quality checks, documentation, and pipeline governance.

Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

📌 Lead Assistant Manager Gurugram (India)
🏢 EXL Service
📍 India