Data Engineer

Horizontal Talent
Saintpaul, MN
24 Apr 2024

Vacancy expired!

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 and 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 understanding 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 member using Secure Software Development Life Cycle (SSDLC) and Data Development Life Cycle (DDLC) methodologies.
PandoLogic.Category: Technology, Keywords: Data Engineer