Sr Data Engineer

Recruiter
Location
Schenectady, New York
Salary
Competitive
Posted
17 Nov 2016
Closes
08 Jan 2017
Ref
2781274
Sector
Oil and Gas
Contract Type
Permanent
Hours
Full Time
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 Lead 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

As a Sr Data Engineer, you will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

The Sr. Data Engineer will:

  • Partner with Tableau developers, IT Project managers and functional teams to gather requirements
  • Design and implementation of Talend jobs required for data transformation to implement specific business logic for reporting
  • Talend Migration from one server to another, setting up log files and code migration
  • Work closely with other Talend developers both internal and contractors
  • Performance optimization and tuning of Talend jobs
  • Troubleshooting and support as needed



Qualifications/Requirements

  • Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 3 years of experience with Talend Data integration tool
  • A minimum of 2 years of experience working on Database(s), SQL is required
  • Ability and willingness to travel, as required


Additional Eligibility Qualifications

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 background investigation and drug screen.

Desired Characteristics

Technical Expertise:
• Basic knowledge of Java
• Basic Knowledge of Unix
• Basic level knowledge in area of modeling expertise (e.g., data, physics, or domain driven). Aware of basic forms of modeling and how they apply to different types of data (e.g., text, voice, image, survival, time dependent, etc.)
• Conducts exploratory data analysis and generates visual summaries of data. Identifies data quality issues.
• Actively identifies needs for novel methods/tools and works with team to invent as necessary. Validates new tools and methodologies.

Domain Knowledge:
• Demonstrates knowledge of business' structure (P&Ls) & the levers that support the business goals.
• Offers data solutions as a method to achieve bus objectives. Knowledgeable about pricing and cost drivers for Services model(s) of their business; aware of services models of other GE businesses.
• Understands basic functionality and interoperability of product modules / components.
• Does a comparison analysis of trends, implements action towards new direction/trend.
• Articulates the value proposition of existing technology capabilities and maps them to customer requirements to minimize incremental cost of development.



Leadership:
• Works effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understands the interconnections between them.
• Uses teamwork skills to achieve goals, solve problems, and manage conflict.
• Understands strengths and weaknesses of team members, and consistently leverage these to achieve goals.
• Creates a trusting and cooperative environment fostering creativity and knowledge sharing.
• Identifies multiple solutions & provides in depth scenario analyses.
• Identifies and explores alternative solutions. Effectively transitions the solution creation process into action. Identifies solutions that can be proven as both feasible and efficient for creating business value. Prioritizes effectively.
• Demonstrated awareness of presentation and influencing skills

Personal Attributes:
• Asks appropriate questions needed to translate an abstract problem into a quantifiable analysis for identifying solutions.
• Seeks out processes and ideas that are out of the norm.
• Continuous leaner.
• Demonstrated awareness of how to succeed in ambiguous circumstances