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Manager at EXL Talent Acquisition Team

, , India -

Full Time

Start Date

Immediate

Expiry Date

11 Jul, 26

Salary

0.0

Posted On

12 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, PySpark, Snowflake, Databricks, Apache Airflow, Shell Scripting, Python, ETL/ELT, Data Modeling, Data Pipelines, Cloud Platforms, AWS, GCP, Azure, Data Governance, Data Lakehouse

Industry

Business Consulting and Services

Description

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 modern data platforms such as Snowflake and Databricks to ensure efficient 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.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT workflows to process large volumes of structured and semi-structured data. Collaborate with stakeholders to optimize data models and ensure reliable, timely data delivery through orchestration and automation.