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Senior Data Engineer
Mumbai A.O, Mum-Knd-Afs(fd), IN
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, deploy and maintain the organization's data architecture
Lead and mentor a team of data engineers on pipelines and ETL
Develop data models, standards and integration and migration processes
Architect and optimize data storage and retrieval for large-scale processing
Create and maintain data dictionaries and metadata
From the employer’s posting
designing, creating, deploying, and maintaining an organization's data architecture
Lead and mentor a team of data engineers in the design and development of datapipelines, ETL processes, and data integration solution
Developing data models, defining data standards and guidelines, and establishing processes for data integration, migration, and management.
Architect and optimize data storage and retrieval systems for large-scale dataprocessing
Create and maintain data dictionaries
What you’ll bring
All qualificationsCore experience
- 5-8 years of experience
- Bachelor's degree in Computer Science, IT, Data Science or Engineering
- Experience in data architecture and engineering
- Experience with Google Cloud, Spark, BigQuery, SQL and Python
Qualification wording
5-8 years
Bachelor's degree in:
Experience in Data Architecture and Engineering
Google Cloud, Spark, Machine Learning, Big query, SQL and Python
Education & alternatives
Qualifications Bachelor's degree in: - Computer Science
Preferred: - Master's degree in Computer Science, Data Science, Information Systems, or related field. - Certifications in Cloud Platforms (Azure, AWS, GCP), Databricks, Snowflake, or Data Engineering.
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 10, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Mahindra & Mahindra is hiring
6 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
- Azure
- BigQuery
- Databricks
- GCP
- Snowflake
- Spark
Where the posting names them
General Requirements Experience in Data Architecture and Engineering, Google Cloud, Spark, Machine Learning, Big query, SQL and Python Our commitment to Diversity, Equity, and Inclusion
- Master's degree in Computer Science, Data Science, Information Systems, or related field. - Certifications in Cloud Platforms (Azure, AWS, GCP), Databricks, Snowflake, or Data Engineering. General Requirements
Your next step
Complete your application on jobs.mahindracareers.com. The employer’s form will show what is required.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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
Responsibilities & Key Deliverables
"-The candidate is responsible for designing, creating, deploying, and maintaining an organization's data architecture.
-To ensure that the organization's data assets are managed effectively and efficiently, and that they are used to support the organization's goals and objectives.
-Responsible for ensuring that the organization's data is secure, and that appropriate data governance policies and procedures are in place to protect the organization's dataassets.Responsible for designing and implementing a data architecture that supports the organization's business goals and objectives.
-Developing data models, defining data standards and guidelines, and establishing processes for data integration, migration, and management.
-Lead and mentor a team of data engineers in the design and development of datapipelines, ETL processes, and data integration solution
-Create and maintain data dictionaries, which are a comprehensive set of datadefinitions and metadata that provide context and understanding of the organization's data assets.
-Architect and optimize data storage and retrieval systems for large-scale dataprocessing
-Manage and prioritize projects, allocate resources, and track progress to meet project goals and deadlines.
-Work closely with other IT professionals, including database administrators, dataanalysts, and developers, to ensure that the organization's data architecture is integrated and aligned with other IT systems and applications.
-Stay up to date with new technologies and trends in data management and architecture and evaluate their potential impact on the organization's data architecture.
-Communicate with stakeholders across the organization to understand their data needs and ensure that the organization's data architecture is aligned with the organization's strategic goals and objectives
Experience
5-8 years
Industry Preferred
Agri, Farm, Auto
Qualifications
Bachelor's degree in:
- Computer Science
- Information Technology
- Data Science
- Engineering (any relevant discipline)
Preferred:
- Master's degree in Computer Science, Data Science, Information Systems, or related field.
- Certifications in Cloud Platforms (Azure, AWS, GCP), Databricks, Snowflake, or Data Engineering.
General Requirements
Experience in Data Architecture and Engineering, Google Cloud, Spark, Machine Learning, Big query, SQL and Python
Our commitment to Diversity, Equity, and Inclusion
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
Mumbai A.O, Mum-Knd-Afs(fd), IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.