Data Engineer - MS Azure ETL

Information Technology Houston, Texas


Description

Key responsibilities

  • Architect, implement and deploy data solutions and pipelines
  • Implement best practice patterns
  • Engage with key stakeholders and take ownership of deliverables.
  • Understand business problems and propose technical solutions
  • Automate solutions and improve overall productivity and resource availability

 

Qualifications and Requirements

  • 3 or more years’ experience in Cloud architecture (Azure specifically)
  • 3 or more years’ experience in data engineering with Relational DataBase Management System (RDBMS) and SQL
  • 3 or more years’ experience in experience in using ETL tools preferably SSIS packaging
  • Experience on Azure Data Factory (Creating Pipelines, loading and moving data)
  • Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues
  • Aptitude to independently learn new technologies, prototype and propose solutions
  • Experienced in working on Agile operation process including various tools (Code review, unit test automation, Environment, Service, Incident and Change Management).
  • Experience in branching, tagging and maintaining the version across the environments using SCM tools like GIT

 

Good to have:

  • Experience in Dimensional Data Modeling using Star and Snow Flake Schema.
  • Expertise in MSBI technologies – (PowerBI, SSAS, AAS)
  • Knowledge of Oilfield terminology and business practices

 

Behavioural Skills:

  • Creativity and ability to formulate problems and solve them independently
  • Highly collaborative work style
  • Strong listening and communications skills
  • Presenting & communicating information
  • Result and quality focused