Company: Baker Hughes
Skills: IT - Programming & Database
Experience: 4 + Years
Education: Bachelors/3-5 yr Degree
Employment Type: Full Time Salaried Employee
Location: Bengaluru, Karnataka, India
No location/work authorization restrictions found.


Role Summary:

 

  • 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.


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.


Location

Bengaluru, India