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Sr. Data Engineer
expires on: June 2, 2020
LOCATION: Lake Elmo
JOB #: 101797
JOB TYPE: Consulting
CATEGORY: Data Management & Business Intelligence
DURATION: 6+ month
CLIENT: financial

Client is ready to interview! Please apply today if you meet the requirement and are intertsed in learning more.



Job Description:
The Data Engineer will develop and maintain data integration processes to ensure complete, accurate, and timely data to the company. This Data Engineer will develop and maintain data integration processes to ensure complete, accurate, and timely data to the company. He/She will be part of the Data Services team enabling Data-as-a-Service support based on varying levels of Data Service Level Agreements. He/she will be part of a dynamic team adopting modern data architecture to improve the data management processes and workflows as well as data presentation capabilities. He/she will develop and maintain processes to support data feeds and batch data integration needs across the company. The Data engineer provides support to the Analytics, Data Warehouse, and Business Intelligence teams as well as several business applications with high priority data needs.

The ideal candidate will have experience building data pipelines, experience data wrangling, and is someone who enjoys building and optimizing data systems. They must be self-directed and comfortable leveraging modern data architectures to support the data needs of multiple teams, systems, and products.
 
Qualifications:
  • The ideal candidate will have a B.S. degree in Computer Science / Engineering with a minimum of 3 years of experience or High school diploma or GED
  • 5 years of experience with data management platforms, data warehousing technologies, business intelligence technologies, advanced analytics technologies, reporting tools, and experience with one or more ETL tools.
 
Experience:
  • Strong expertise Microsoft SQL Server and TSQL
  • Strong expertise Microsoft SQL Server Integration Services
  • Experience with extract-transform-load (ETL) Tools like Informatica or WherescapeRed
  • Experience working with and supporting Data Virtualization and Data Visualization tools
  • Exposure to SQL on Hadoop technologies such as Spark, Hive, Impala or Presto.
  • Knowledge of NoSQL technologies such as ElasticSearch or Cassandra.
  • Knowledge of Graph database technologies like Neo4j
  • Experience working with large and complex data sets with multi-terabyte scale
  • Knowledge of Agile and DataOps
 
Responsibilities:
  • Extract and manipulate data from multiple data sources and tools and integrate them into a data set or structure.
  • Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and abstract up from low-level information to a more general understanding.
  • Work with business customers to understand both stated and unstated requirements.
  • Augment Business requirements with technical requirements for assigned projects
  • Elicit, organizing, translating, and simplifying requirements.
  • Ensuring accurate, complete, and timeliness of data, alerting, and resolution of inconsistent or incomplete data sources.
  • Monitor system performance implement changes to optimize performance.
  • Have strong written and verbal communication skills.
  • Agile team members using the Secure Software Development Life Cycle (SSDLC) and Data Development Life Cycle (DDLC) methodologies.    


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