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Roles and Responsibilities
In this role, you will:
- Build technical data dictionaries and support business glossaries to analyze the datasets
- Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories
- Build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
- Develop and maintain 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
- Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
- Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
- Analyze the impact of downstream systems and products
- Derive solutions and make recommendations from deep dive data analysis.
- Design and build Data Quality (DQ) rules needed
Education Qualification
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)
- Three (3) years of responsible experience in the field of data processing, applications and software development.
Desired Characteristics Technical Expertise:
- Five (5) years of responsible experience in the field of data processing, applications and software development.- Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend.
- Hands-on experience in programming languages like Python and Java.
- Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL.
- Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase).
- Exposure to unstructured datasets and ability to handle XML, JSON file formats.
- Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.
- Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, TAMR).
- Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio).
- Exposure to and understanding of Artificial Intelligence.
- Have built solutions with public cloud providers, such as AWS, Azure, or GCP.
Leadership Skills:
- Ability to work effectively with multi-disciplinary teams (e.g., UX, GE Business teams, AI teams, Enterprise Solutions teams) and understand the inter-dependencies between them.
- Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.
- Demonstrate the presentation and influencing skills
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. 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.
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
Other
Durable Manufacturing
$111k-139k (estimate)
03/27/2024
04/25/2024
ge.com
HOOKSETT, NH
>50,000
1892
Public
RAJ PAS
>$50B
Durable Manufacturing
GE is a Massachusetts-based industrial conglomerate that operates in industries such as aviation, power generation, healthcare, renewable energy, transportation, and finance.
The job skills required for Sr Data Engineer include SQL, Python, AWS, Big Data, Computer Science, Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Sr Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Sr Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Sr Data Engineer positions, which can be used as a reference in future career path planning. As a Sr Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Sr Data Engineer. You can explore the career advancement for a Sr Data Engineer below and select your interested title to get hiring information.