Data Engineer Job Vacancy in GE Gas Power Bengaluru, Karnataka – Updated today

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Company Name : GE Gas Power
Location : Bengaluru, Karnataka
Position :

Job Description : Job Description Summary
Responsible 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. The Data Management Training Initiative team member will be responsible for designing, developing, testing, and implementing analytics and reporting solution to deliver our business outcomes. This individual will also provide support for post-deployment related activities when needed. This employee will be accountable to deliver results in a timely manner using SCRUM/Agile methodologies.

This employee will be a participant in the Data Management Training Initiative (DMTI) and will have the opportunity to work on four projects over the course of two years, supporting various teams inside the Data and Analytics organization. This employee will gain exposure to Product Management, Data Engineering, Master Data Management, Data Governance, Data Platforms, and Data Operations. Additionally, this employee will be offered training related to these fields, engage with Data and Analytics leadership organization for roundtables and discussions, and work together on small assignments throughout the two years.
Job Description
Roles and Responsibilities
In this role, you will:
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
Implement Data Quality (DQ) rules provided
Education Qualification
Bachelor’s Degree in Engineering, IT, Computer Science, or related field from an accredited university
Desired Characteristics
Preference will be given to current GE Employees or have completed a GE Internship
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 programming languages like Java, Python or Scala
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive
Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models
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
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Domain Expertise:
Exposure to handling machine or sensor datasets from industrial businesses
Knowledge of for industrial applications in a commercial/finance/industrial/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.
About us:

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.

Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.
www.ge.com
Additional Information
Relocation Assistance Provided: No

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