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Senior Data Engineer
Bengaluru, Karnātaka, India
Live, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild automated ETL jobs from data mapping specifications
Design automations and low-code, no-code solutions to speed up development
Profile source and target data and analyze datasets
Develop data mapping specifications from analysis and functional requirements
Validate data mapping results against expected results
From the employer’s posting
Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
Perform data profiling and data analysis for any source systems and the target data repositories.
Develop data mapping specifications based on the results of data analysis and functional requirements
Validate the data mapping results and match with the expected results.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in computer science or equivalent
- 5+ years of hands-on data engineering experience
- Hands-on AWS experience, especially Redshift, Glue, RDS, Step Functions, S3
- Python programming and Unix
- SQL scripting for Oracle, MySQL, PostgreSQL
Qualification wording
Bachelor's Degree in computer science or equivalent
minimum 5+ years of hands on experience
Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis.
Hands-on experience in programming languages like Python. Unix
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL.
Education & alternatives
Education Qualification: Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience. Desired Characteristics Technical Expertise:
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Sep 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
GE Healthcare is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 9% of open jobs were reposted
See 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
- Kafka
- MySQL
- Oracle
- PostgreSQL
- Redshift
- S3
- SageMaker
Where the posting names them
- Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques. - Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis. - Hands-on experience in programming languages like Python. Unix - Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL. - Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models. - Experience with data warehousing, Big Data. NRT - Kafka. - Exposure to unstructured datasets and ability to handle XML, JSON file formats - Exposure to Extract, Transform & Load (ETL) tools like Matillion Or Informatica. -Exposure or experience in Databricks.
- Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis. - Hands-on experience in programming languages like Python. Unix - Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL. - Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models. - Experience with data warehousing, Big Data. NRT - Kafka. - Exposure to unstructured datasets and ability to handle XML, JSON file formats - Exposure to Extract, Transform & Load (ETL) tools like Matillion Or Informatica. -Exposure or experience in Databricks. - Experience using 'Low code, No code' tools like Microsoft/Github co-pilot.
Your next step
Complete your application on gehc.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Has GE Healthcare posted this job before?
Yes. We’ve followed 3 other Senior Data Engineer jobs there since May 2026. 3 came down, usually after about 116 days.
If this one keeps the same pace, it may come down around February 27.
Large employers often post one title for several teams, so these can be separate openings.
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 Description SummaryResponsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed. Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
tex
Job DescriptionRoles and Responsibilities
In this role, you will:
- Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
- Leverage technical data dictionaries and business glossaries to analyze the datasets.
- Perform data profiling and data analysis for any source systems and the target data repositories.
- Understand metadata and the underlying data structures needed to standardize the data load processes.
- Develop data mapping specifications based on the results of data analysis and functional requirements
- Perform a variety of data loads & data transformations using multiple tools and technologies.
- Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
- Validate the data mapping results and match with the expected results.
- Leverage/Implement Data Quality (DQ) rules provided.
Education Qualification:
Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience.
Desired Characteristics Technical Expertise:
- Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques.
- Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis.
- Hands-on experience in programming languages like Python. Unix
- Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL.
- Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models.
- Experience with data warehousing, Big Data. NRT - Kafka.
- Exposure to unstructured datasets and ability to handle XML, JSON file formats
- Exposure to Extract, Transform & Load (ETL) tools like Matillion Or Informatica.
-Exposure or experience in Databricks.
- Experience using 'Low code, No code' tools like Microsoft/Github co-pilot.
Domain Expertise:
- Exposure to handling enterprise ERP and CRM data.
- Knowledge of for industrial applications in a commercial/finance/manufacturing settings.
- Exposure to finance and accounting data domains.
Leadership skills:
- Partner with other team members to understand the project objectives and resolve technical issues.
- Communicate project status or challenges in a clear and concise manner to the cross team members.
- Ability to drive technical solutions to meet business outcomes.
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
Bengaluru, Karnātaka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.