Data Engineer - Senior Consultant

Clarity Solution Group   •  

Virtual / Travel

Industry: Finance & Insurance

  •  

5 - 7 years

Posted 61 days ago

This job is no longer available.

Data engineers are challenged with building the next generation of data solutions for many of the most high-profile and technologically-advanced organizations nationally. Our engagements typically target a variety of use cases across data engineering, data science, data governance, and visualization.


Data engineers deliver value through...

  • Hands-on, self-directed design and development of highly-scalable, reliable, and performant pipelines to consume, integrate and analyze large volumes of complex data using a variety of best-in-class proprietary and open-source platforms and tools
  • Demonstration of technical, team, and solution leadership through strong communication skills to recommend actionable, data-driven insights
  • Collaboration with team members, business stakeholders and data SMEs to elicit requirements and to develop business metrics and analytical insights
  • Internal contribution and influence over the growth of their consultancy with direct lines of communication from team member to CEO

A data engineer's skills include, but are not limited to...

  • Bachelors Degree and 5+ years of work experience
  • 5+ years of professional IT work experience
  • SQL, SQL, SQL!
  • Programming / Scripting (Python, Java, C/C++, Scala, Bash, Korn Shell)
  • Linux / Windows (Command line)
  • Big Data (Hadoop, Flume, HBase, Hive, Map-Reduce, Oozie, Sqoop, Spark)
  • Cloud Platforms (AWS, Azure, Google Cloud Platform)
  • Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)
  • Data Integration Tools (Talend, DataStage, Informatica, SSIS)
  • Databases (DB2, HANA, Netezza, Oracle, Redshift, Teradata, Vertica)
  • Markup Languages (JSON, XML, YAML)
  • Code Management Tools (Git/GitHub, SVN, TFS)
  • Testing / Data Quality (TDD, unit, regression, automation)
  • Solving complex data and technology problems
  • Leading technical teams of 2+ consultants
  • Ability to design components of a larger implementation
  • Excellent communication to narrate data driven insights and technical approach