Bengaluru, Karnātaka, India
Live, first seen by us 2 days agoBuild 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
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.
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 Qualification: Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience. Desired Characteristics Technical Expertise:
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Day 2
Early. Similar jobs usually come down between day 6 and day 54.
At GE Healthcare, jobs usually come down by about day 35.
From 11,035 similar postings that came down, and 43 of GE Healthcare’s. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
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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.
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.
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.
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.
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.
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Bengaluru, Karnātaka, India
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