About Us :
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive.
Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
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 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 working on projects supporting the GE Capital business, typically involving large, complex data sets.
These teams typically include 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.
Be Proficient in at least one data modality (e.g., text, numeric, image), conversant in more than one. Proficient in multiple ETL / MDM tools. (Informatica preferred)
Lead and manage teams taking responsibility for day to day team activity, ownership of the development lifecycle, documentation, testing and product quality
Implement Data warehouse & Big / Small data designs with automated MDM and data quality capabilities.
Demonstrate proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Integrate domain data knowledge into development of data requirements.
Look across multiple systems, understands the purpose of each system and defines data requirements by systems.
Identify downstream implications of data loads / migration (e.g., data quality, regulatory, etc).
Qualifications / Requirements :
Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 5 years of experience as data engineer.
6-8 years of experience in ETL technologies (preferably Informatica), of which at least 2 years in a formal lead position
A minimum of 2 year of experiences working in / alongside a data architecture team
A minimum of 4 years of experience on development design, BRD & scope documents
A minimum of 2 year of experience working on Database(s), SQL is required
Technical Expertise :
Primary role in recent positions must be as a Lead Data Engineer or Senior Data Engineer, preferably an established team leader with a delivery focused track record
Ability to leverage data assets to respond to complex questions that require timely answers
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
Solution Design experience, preferably involving BI Architecture
Desired Characteristics : Domain Knowledge :
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.
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.
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
Proactive, determined, execution and results focused
Seeks out processes and ideas that are out of the norm.
Demonstrated awareness of how to succeed in ambiguous circumstances
Locations : India; Bengaluru