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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Oil & Gas / Petroleum |
| Functional Area | IT Operations / EDP / MIS |
| EmploymentType | Full-time |
Role Summary: The Data Engineering team helps solve our customers toughest challenges and makes Oil & Gas production safer for people and the environment by leveraging Data and Analytics. The Data Engineers work with the D&A product teams to create state-of-the-art solutions, working across BHGE to drive business analytics while leveraging big data tools and technologies . Responsibilities: Understand requirements through discussions with business stakeholders and users across the globe, and translate them into data requirements Perform source data mapping and modelling aligned with the D&A product strategy Perform integration of multiple data source-formats into master dataload for on-premise or cloud platforms Perform a variety of data transformations to support BI and analytics initiatives QualificationsRequirements: Bachelors Degree in Computer Science, Information Technology or equivalent (STEM) A minimum of 4 years of DatabaseData Warehouse, SQL (Oracle, Terradata, Greenplum, Hive etc.) experience is required A minimum of 2 years of Tableau visualization development experience is required Experience on new D&A application development and existing application optimization is required (data source identification, mapping, ingestion, modelling and transformation for analytical consumption purposes) Desired Characteristics: Exposure to Scripting (Pig, Python, Perl, etc.) experience Exposure to AWS native database technologies and Graph databases Exposure to Qlik, Sisense and other visualization technologies Translates analytics problems into data requirements. Understands logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling. Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team. Expresses the information clearly and concisely. Projects knowledge of relevant data. Demonstrated awareness of how to leverage curiosity and creativity to drive business impact Asks follow-up questions when presented with new dataprojects. Sees the broader implications of an idea. Presents new ideas and concepts. Makes connections among previously unrelated ideas Keyskills :
sqljavadata warehousinginformaticapythonmaster data managementbig datamaster datadata modelsdata mappingdata modelingdata managementgraph databasescomputer scienceproduct strategydata engineeringcommercial modelstechnology trendsbusiness