Offers “General Electric”

Expires soon General Electric

Data Engineer

  • INDIA
  • IT development

Job description



3341279
Additional Cities

Bengaluru
Career Level

Experienced
Relocation Assistance

No
Business

GE Oil & Gas
Business Segment

Oil & Gas Headquarters
Function

Digital Technology
Country/Territory

India
Postal Code

560048
Role Summary/Purpose

The Data Engineering team helps solve our customers' toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. The Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.
Essential Responsibilities

• Understand business models and work closely with various product owners and business function and departments to build out / support their needs.
• Build application when necessary or provide direction to offshore / consulting resources.
• Good knowledge of data warehousing principles, technologies, data modeling and star schema architecture.
• Translate end-user requirements into solutions and responsible for defining data needs and providing actionable analytic capability when needed.
• Work with the Data Architect and platform team to set the vision for the Data & Analytics solution and build a roadmap to successfully implement.
• Collaborate with team members to identify needs and opportunities for improvement.
• Ensure that deliverables are properly tested and meet requirements.
• Investigate defects and work with scrum and DevOps team to resolve as per priority assigned.
• Conduct gap analyses to determine areas for business opportunities.
• Develop and maintain project documentation for system development/enhancement.
• Maintain product consistency and respond to design issues throughout the product lifecycle.
• Successfully multi-task across a number of concurrent projects.
Qualifications/Requirements

• Bachelor's degree in Computer Science, Business, or a related field.
• At least 4-7 years of technical hands-on product management and/or business analysis experience, preferably with Data and Analytics products and Data Warehouse projects.
• Atleast 2 years of experience with Greenpulm Database.
• Atleast 5 years of experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Good understanding of data architecture and models, Data & Analytics technology like ETLs, Data Lake, Data Warehouse. (HVR, Talend, Informatica or other ETL tools)
• Strong analytical skills with experience in analyzing complex systems; excellent problem solving and interpersonal communication skills are a must.
• Experience working on Business Intelligence products and data warehousing projects
• Must have a desire to achieve excellent project outcomes, and exceed stakeholder expectations.
• Works independently with limited supervision, coordinating projects to closure.
• Must have experience working with cross-functional teams.
• Understanding of software development lifecycle methodologies. (Waterfall, Iterative, AGILE)
• Proficiency in Microsoft Excel, Visio and Word required.
Desired Characteristics

• Exposure to Scripting (Pig, Python, Perl, etc.) experience
• 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.
• Demonstrated awareness of how to function in a team setting
• Distills information down to key points.
• 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 data/projects. Sees the broader implications of an idea.
• Presents new ideas and concepts. Makes connections among previously unrelated ideas.
• Deep passion for learning.
About Us

GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com
Primary Country

India
Primary State/Province

Karnataka
Primary City

Bengaluru

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