Data Engineer

General Electric

Qualifications/Requirements:
•Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM).
•Minimum of 3 years of experience in Software Development.

About Us:
GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining worldclass
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. 

Role Summary/Purpose:
At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and  advancing the industries critical to the world we live in.

Essential Responsibilities:
In this role, you will:
•Performs a variety of data loads & data transformations.
•Working knowledge of methods for parsing, formatting, & transforming data into units consistent
with analytical needs.
•Demonstrates proficiency in implementation of logical/physical data models that support MDM
best practices.
•Performs integration of multiple data source-formats into master data load.
•Must have good communication skills - both oral and written.

Desired Characteristics:
Technical Expertise:
•Experience with Big data related technologies (Spark, Hive, YARN, Kafka etc.).
•Experience with Scala, Python.
•Experience with SQL and databases.
•Strong knowledge of NoSQL database architectures, hdfs, S3 is a big plus.
•Knowledge of Linux commands and bash scripting is plus.
•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.

Leadership:
•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.

Personal Attributes:
•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.