Lead Assistant Manager

ExlService Holdings, Inc.; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ExlService Holdings, Inc. in Pune is seeking a data engineer with 6–9 years of experience to design and maintain scalable data pipelines, warehouses, and lakes for analytics.

The role requires strong SQL, Python, Spark, Redshift, and cloud skills (AWS/Azure), data governance, and collaboration with data science and engineering teams to ensure data quality and secure access. Graduate in Computer Science or related field and a track record of delivering end-to-end data platforms in distributed

Qualifications

• Strong SQL, Python, Spark and Redshift experience.
• Experience with cloud data platforms AWS/Azure, preferably AWS.
• Knowledge of data modelling, governance and metadata.
• Understanding of large-scale distributed data systems.
• Graduate in Computer Science, Data Science, or related field; 3–4 years of data engineering experience.

Responsibilities

• Develop and optimise data pipelines and ETL/ELT processes.
• Build and maintain data warehouse and data lake structures.
• Ensure data quality, governance and security across platforms.
• Collaborate with data scientists and engineering teams.
• Monitor performance and troubleshoot data workflows.

Skills

SQL

Python

Spark

Redshift

AWS

Azure

Education

Bachelor's degree in Computer Science

Job description

• Experience (In Years) 6-9
• Job Location Pune

Job Description

Skills Required:

• Strong SQL, Python, Spark, Redshift.
• Experience with cloud data platforms (AWS/Azure). Preferably AWS.
• Knowledge of data modelling, governance, and metadata.
• Understanding of large-scale distributed data systems.

Responsibilities

Summary:
Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting.
Key Responsibilities:

• Develop and optimise data pipelines and ETL/ELT processes.
• Build and maintain data warehouse and data lake structures.
• Ensure data quality, governance, and security across platforms.
• Collaborate with data scientists and engineering teams.
• Monitor performance and troubleshoot data workflows.

Qualifications

Graduate in Computer Science, Data Science, or related field. 3-4 years of experience in data engineering or a related field.