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Data Engineer

Littelfuse Operations India Private Limited

Full time Hybrid
Experience
2+ years
Location
India
Work mode
Hybrid
Salary
₹10L – ₹25L a year estimatetypical for IT Jobs in India, 850 posts
Posted 9 days ago Last checked 2 days ago

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Role at a glance

Experience
2+ years
Education
Bachelor's degree
Must-have skills
Azure DevOpsCI/CDData EngineeringELTETLGit
Work mode
Hybrid

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Job description

Location: India

Littelfuse (NASDAQ: LFUS) is a diversified industrial technology manufacturing company shaping solutions for the safe and efficient transfer of electrical energy. Headquartered in Chicago, Illinois, USA, we serve customers across industrial, transportation, and electronics markets worldwide. With approximately 16,000 employees we design and manufacture innovative technologies that support electrification, energy efficiency, and advanced automation. Our global reach is matched by a culture that empowers innovation and long-term growth. Guided by our principles We Care, We Succeed With Our Customers, and We Own the Outcome, we work collaboratively, think boldly, and deliver solutions that move industries forward.

We are seeking a Data Engineer with 2+ years of experience to design, develop, test, and support reliable data integration solutions. This role focuses on Azure Data Factory and SQL development for Master Data Management (MDM) initiatives, including data flows between SAP, BW, Data Hub, and Informatica. The successful candidate will work closely with technical and functional team members to deliver end-to-end data pipelines, database objects, testing, documentation, and deployment automation.

**About the job****:**

  • Extract data from source systems, including SAP, BW, and Data Hub, and ensure data is available in the required structure and format.
  • Develop, maintain, monitor, and test ETL/ELT processes and data pipelines using Azure Data Factory (ADF).
  • Collaborate with cross-functional team members to implement and test the end-to-end MDM process, including Informatica egress files to Data Hub and Data Hub inputs to Informatica.
  • Develop, optimize, and maintain SQL stored procedures in Azure to support MDM implementation and data processing requirements.
  • Develop, maintain, and test data dictionary elements and database objects, including tables, views, schemas, and related metadata for the MDM project.
  • Develop and maintain ADF-based data extraction and integration pipelines for the MDM project.
  • Troubleshoot and debug ETL, pipeline, SQL, and data-quality issues; perform root-cause analysis and implement sustainable fixes.
  • Create and maintain technical documentation, including data mappings, pipeline designs, support procedures, deployment notes, and operational runbooks.
  • Participate in peer code reviews and consistently follow established coding, naming, security, and documentation standards.
  • Implement and support CI/CD processes for data pipelines and database components across development, test, and production environments.
  • Manage and version source code, deployment artifacts, and configuration changes using Git.

About you:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent practical experience.
  • 2+ years of hands-on experience in data engineering, data integration, ETL/ELT development, or a related role.
  • Strong SQL skills, including development and troubleshooting of stored procedures, views, joins, transformations, and performance-aware queries.
  • Hands-on experience with Azure Data Factory, including pipeline development, datasets, linked services, parameters, triggers, monitoring, and error handling.• Experience working with relational databases and data warehouse or Data Hub environments.
  • Working knowledge of Git-based source control and collaborative development practices.
  • Understanding of CI/CD concepts for data pipelines and database deployments.
  • Ability to analyze data issues, communicate findings clearly, and work effectively with technical and business stakeholders.
  • Familiarity with Azure DevOps or comparable CI/CD tooling for automated builds, releases, and environment promotion.

#LF\_FE1

At Littelfuse, we support employee growth and development. Guided by our culture principles, our teams work together to deliver value for customers and make a positive impact in the communities where we operate. We are an equal opportunity employer committed to fostering an inclusive workplace where everyone has the opportunity to grow and contribute. We offer competitive compensation and benefits, performance-based incentives, flexible work arrangements, and development opportunities.

Our humble roots date back to 1927, where, in the back of a garage on Chicago’s northside, our founder, Edward Sundt, developed a small, fast-acting, protective fuse for use in sensitive test meters. Sundt wanted to call his new company producing these small fuses, “Little Fuse,” but wasn’t allowed to trademark two such common words. So, instead he went with the one-word, misspelled “Littelfuse.”

For more than 95 years, Littelfuse has pioneered innovative products that help empower a sustainable, connected, and safer world. With the ever-evolving electrification and electronification of customer applications, our product technologies are closely linked to sustainable applications such as electric vehicles and EV charging infrastructure, renewable energy and energy storage, factory automation, power management and more.

Throughout our history, our people have been the foundation of our success — and that remains true today. Now more than ever, our bright and talented people are a strategic advantage for the company. From the production line to the engineering lab, the office or distribution center, Littelfuse people are an important part of a diverse, talented team of the best and brightest in the industry. While Littelfuse has experienced tremendous growth in recent years, we still maintain a small-company, entrepreneurial approach where your efforts will drive our culture, our business, and the overall success of the organization. No matter where you work or what you do, your contributions will make a difference at Littelfuse — everywhere, every day.

***Littelfuse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, and/or any other protected class under federal, state, or local law.***

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

Azure DevOpsCI/CDData EngineeringELTETLGitMicrosoft AzureSQL

Job market insights

617active Azure DevOps jobs in India
3,102active CI/CD jobs in India
844active Data Engineering jobs in India
₹10L – ₹25L advertised yearly salary for IT Jobs in India (middle half of 850 posts that show a salary; median ₹17L)

Jobs asking for Azure DevOps in India also ask for

  • CI/CD60%
  • Microsoft Azure55%
  • Agile41%
  • Python37%
  • Git34%

From live job posts on CoreHRx, updated 13 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Data Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹25L a year (typical for IT Jobs in India, 850 posts).

How much experience does this job need?

The post asks for 2 Yrs experience.

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.

Questions you may be asked

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  2. What is the difference between DELETE, TRUNCATE and DROP?
  3. What is the difference between an INNER JOIN and a LEFT JOIN?
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