Senior Data Engineer
Bengaluru, Karnātaka, India
- 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
Perform data profiling and analysis on source and target systems
Develop data mapping specifications from analysis and requirements
Validate data mapping results against expected results
Design and build automations using low-code, no-code solutions
From the employer’s posting
Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
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.
Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in computer science or equivalent
- 5+ years of hands-on experience in data engineering
- Hands-on AWS experience, especially Redshift, Glue, RDS, S3
- Hands-on Python programming
- 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.
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
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- Kafka
- MySQL
- Oracle
- PostgreSQL
- Redshift
- S3
- SageMaker
Source — Tool mentions in context
- 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.
- 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.
- 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
- 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.
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this listing 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 25, 2026 · 150 days ago
- Recorded sightings
- 269
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on gehc.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job Description
Roles 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.
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
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Additional InformationRelocation Assistance Provided: No
Source details
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- Pay
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- Location & working pattern
Bengaluru, Karnātaka, India
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