Time since we first saw it
Day 0
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From 12,057 similar postings that came down. Coming down is not always a hire.
Data Engineer
Gurugram; Bengaluru
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
- Employer says posted
- Aug 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
maruti is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Iceberg
- S3
- Snowflake
Where the posting names them
- Experience: 3-5 years of experience in data engineering or a related field. - Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks. - Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc.
- Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks. - Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc. § Good knowledge next generation ETL/ELT tools and data consolidation frameworks that enable capabilities within the data ecosystem.
Your next step
Complete your application on maruti.app.param.ai. The employer’s form will show what is required.
Already applied? Track this application
Has maruti posted this job before?
Yes. We’ve followed 2 other Data Engineer jobs there since November 2026. All 2 are still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Essential :
§ B.E / B. Tech in Computer Science/IT/ or Masters in Computer Application(MCA)
§ Minimum 60 % marks
Minimum 3 Years work experience in Big Data/Cloud Computing/ Data Engineering/ Analytics related projects.
Desirable:
§ Certification in Big Data/Data Science/Cloud Computing or equivalent.
Role:
Data Engineering & Quality Management: Design, implementation, and management of data platform, data pipelines to help fulfill data access and aggregation functionality for users in cloud environment.
Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL).
- Data Integration: Integrate data from various sources, ensuring data quality and consistency.
- Optimize Data Systems: Identify and implement process improvements to enhance data reliability, efficiency, and quality.
- Collaborate with Teams: Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs.
- Monitor and Troubleshoot: Monitor data pipelines and systems, troubleshoot issues, and ensure data integrity.
- Documentation: Maintain comprehensive documentation of data processes and systems.
Technical/ Functional:
- Experience: 3-5 years of experience in data engineering or a related field.
- Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks.
- Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc.
§ Good knowledge next generation ETL/ELT tools and data consolidation frameworks that enable capabilities within the data ecosystem.
§ Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM environment.
Desired but not essential:
§ Experience in IoT time series data domain
§ Exposure to automotive data.
Behavioral
§ Effective team player.
§ Study industry trends (global and domestic) and apply it in work-area.
§ Co-ordinate department activities and represent department / MSIL in forums.
Good communication and presentation skills.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram; Bengaluru
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.