Data Engineer (Associate/Senior/Lead)

4/1/17
National Grid (https:\\careers.nationalgridus.com)
Other

/yr

  Full Time   Employee


Brooklyn
New York
United States

Description
Do you want to change the world? We do. Did you know that there is no industry that touches more of humanity than Energy? In fact, Energy creates societies. Are you passionate about Clean Energy and empowering humanity in an intelligent and sustainable fashion? Then you think like us. Do you have the skills, intellect, creativity and drive to transform, not just a company, but an industry through Big Data and Advanced Analytics? Then come join us as we transform the energy industry.

We are the Advanced Data & Analytics team at National Grid and we are looking for world-class talent to join us on our mission: Bringing Energy to Life through Advanced Analytics.

National Grid is seeking a Data Engineer for their Advanced Data and Analytics team. The utility industry is going through a paradigm shift. Huge volumes of data need to be organized and transformed to have business value. This role will bring start-up challenges and opportunities inside a big and stable company.
The Data Engineer will establish capabilities to ingest big data and architect flexible and scalable data models using various open source tools as appropriate. You will develop and maintain an integrated data architecture that spans relational and NoSQL database architectures. You embrace the challenge of unraveling raw unstructured data and providing innovative solutions to our data consumers. Incumbents should be prepared to work in a highly multi-tasked environment with rapidly changing business priorities. Abilities to work cross functionally and in an Agile Team Setting are a must.
Responsibilities:
Design, construct, install, test and maintain highly scalable data management systems
Learn new data sources and determine how best to structure the data for use in advanced analyses
Research opportunities for data acquisition and resolve data quality issues
Integrate new data management technologies and software engineering tools into existing structures.
Employ a variety of languages and tools to marry disparate data sources
Work with various database solutions (NoSQL, RDBMS)
Work with leading big data solutions
Build scalable data pipeline solutions in a cloud environment
Work effectively with geospatial and GIS data and integrate it with other data
Work effectively with remote sensing and image data and integrate it with other data
Collaborate with team members to architect customized data solutions
Communicate effectively and translate business requirements into data solutions
Qualifications
Knowledge & Skills required:
Master?s degree in a data intensive discipline (Computer Science, Applied mathematics or equivalent) is strongly preferred, with a background in big data computer programming and/or a minimum of 3-5 years experience in big data processing.
Additional preference would be given to a candidate with a PhD degree in a data intensive discipline. Exceptional candidates considered with Bachelor?s degree or Master?s degree in progress.
Strong programming experience with: Python, Java, SQL, Ruby and other scripting languages
Proven experience building and maintaining data flow systems in AWS
Proven experience modeling and querying NoSQL, such as DynamoDB/ MongoDB
Proven experience architecturing big data solutions, such as AWS EMR/S3/EC2/HDFS/Hadoop
Proven experience with building and deploying ETL pipeline
Proven experience with emerging big data technologies
Proven experience working with APIs
Proven experience with relational databases and SQL
Strong communication skills
Plus - having geospatial and GIS skills
Plus- experience with one or more specialize areas: deep web, image and remote sensing data, natural language data, geospatial data
Job
:Cust & Market Analytics
Primary Location
:NY-Brooklyn
Organisation
:Cust & Market Analytics
Schedule
:Full-time
Job Posting
:Mar 22, 2017, 1:43:39 PM
Unposting Date
:Ongoing

To apply for this job, contact:
Kathy Gangarossa

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