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Data Engineer
- 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
What you’ll work on
Full postingYou will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and efficiently processed.
Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL).
Optimize Data Systems: Identify and implement process improvements to enhance data reliability, efficiency, and quality.
From the employer’s posting
Job Summary: We are seeking a skilled Data Engineer with 3-5 years of experience to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and optimizing our data infrastructure and pipelines. You will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and efficiently processed. Key Responsibilities:
Key Responsibilities: 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.
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.
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
- May 7, 2025
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
- Hadoop
- Iceberg
- Redshift
- S3
- Snowflake
- Spark
- Airflow
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 (Must Have): 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 (Must Have): 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. - Problem-Solving: Strong analytical and problem-solving skills.
Preferred Qualifications: - Cloud Platforms: Experience with cloud platforms (Mandatory: Databricks, Good To have: AWS tools like redshift , Glue , Airflow etc.). - Big Data Technologies: Familiarity with big data technologies (e.g., Hadoop, Spark).
- Cloud Platforms: Experience with cloud platforms (Mandatory: Databricks, Good To have: AWS tools like redshift , Glue , Airflow etc.). - Big Data Technologies: Familiarity with big data technologies (e.g., Hadoop, Spark). - Agile Methodologies: Experience working in Agile environments.
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
Job Summary:
We are seeking a skilled Data Engineer with 3-5 years of experience to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and optimizing our data infrastructure and pipelines. You will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and efficiently processed.
Key Responsibilities:
- 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.
Required Skills and Qualifications:
- 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 (Must Have): 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.
- Problem-Solving: Strong analytical and problem-solving skills.
- Communication: Excellent communication and teamwork skills.
Preferred Qualifications:
- Cloud Platforms: Experience with cloud platforms (Mandatory: Databricks, Good To have: AWS tools like redshift , Glue , Airflow etc.).
- Big Data Technologies: Familiarity with big data technologies (e.g., Hadoop, Spark).
- Agile Methodologies: Experience working in Agile environments.
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
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.