EXL

Analyzes business data and runs outsourced operations

Automation Engineer - Data Governance

DevOps EngineeringConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

At least 5 years of experience is stated in the posting, while another qualification states 2–4 years of relevant experience in automation, DevOps, or software development roles.
Strong proficiency in Python programming and shell scripting, including Bash or PowerShell, is required.
Hands-on experience with continuous integration and continuous delivery tools, particularly Jenkins, including job creation, pipeline configuration, and automation, is required.
Working knowledge of REST API design, implementation, and integration is required.
Experience creating automated jobs and workflows is required.
Understanding of access control principles and implementation is required.
Knowledge of data cataloging concepts and practices is required.
Familiarity with data governance frameworks and compliance requirements is required.
A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is required; equivalent work experience may be considered instead of formal education.
Experience with version control systems, including Git and GitHub, is required.
Knowledge of cloud platforms, particularly Amazon Web Services, is required.
Working understanding of configuration management tools, particularly Terraform, is required.
Understanding of Agile/Scrum methodologies is required.
The ability to work independently and in team environments is required.

Responsibilities

Design, develop, and maintain automation scripts using Python and shell scripting to improve operational workflows.
Create, configure, and manage continuous integration and continuous delivery pipelines using Jenkins to automate build, test, and deployment processes.
Develop and integrate solutions using REST APIs to enable automation and system integration.
Implement and maintain data governance practices, including access control mechanisms and data cataloging processes.
Collaborate with cross-functional teams to identify automation opportunities and implement scalable solutions.
Monitor and troubleshoot automated jobs and pipelines to ensure reliability and performance.
Document automation processes, procedures, and best practices.

Desired Qualifications

Adaptability and commitment to continuous learning.
Problem-solving and analytical thinking abilities.
Communication and collaboration skills.

Job Title: Automation Engineer - Data Governance

Experience: 5+ Years

Location: Pune (Preferred)

Technical Skills:
Strong proficiency in Python programming and Shell scripting (Bash/PowerShell)
Hands-on experience with CI/CD tools, particularly Jenkins (job creation, pipeline configuration, automation)
Working knowledge of REST API design, implementation, and integration
Experience creating automated jobs and workflows
Data Governance:
Understanding of access control principles and implementation
Knowledge of data cataloging concepts and practices
Familiarity with data governance frameworks and compliance requirements
Soft Skills:
Demonstrated adaptability and commitment to continuous learning
Strong problem-solving and analytical thinking abilities
Excellent communication and collaboration skills
Self-motivated with ability to work independently and in team environments

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
Equivalent work experience may be considered in lieu of formal education

Experience with version control systems (Git, GitHub)
Knowledge of cloud platforms (AWS)
Working Understanding of configuration management tools (Terraform)
Understanding of Agile/Scrum methodologies

2-4 years of relevant experience in automation, DevOps, or software development roles

This role is ideal for someone passionate about automation, continuous improvement, and data governance who thrives in a dynamic, learning-focused environment.

Key Responsibilities
Design, develop, and maintain automation scripts using Python and Shell scripting to improve operational workflows
Create, configure, and manage CI/CD pipelines using Jenkins to automate build, test, and deployment processes
Develop and integrate solutions using REST APIs to enable seamless automation and system integration
Implement and maintain data governance practices, including access control mechanisms and data cataloging processes
Collaborate with cross-functional teams to identify automation opportunities and implement scalable solutions
Monitor and troubleshoot automated jobs and pipelines to ensure reliability and performance
Document automation processes, procedures, and best practices

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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