Data Engineer - DataOps

S
ScalepexHealthcare
MexicoContractMiddle
Salary not disclosed
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Job Details

Experience
2+ years of experience
Required Skills
SQLETLGitKafkaMicrosoft Power BITableauMicrosoft ExcelRESTful APIs

Requirements

  • Solid grasp of modern relational and non-relational models and differences between them
  • Expert in writing complex SQL, including pivots, window functions, and complex date calculations
  • Expert in analyzing and parsing flat file data structures
  • Proficient in EDI X12 formats related to healthcare claims processing
  • Proficient in the use of Excel
  • Familiar with analytical tools such as Tableau, MicroStrategy, PowerBI
  • Familiarity with API usage for healthcare data integration including data parsing and conversion
  • Familiarity with EFT file movement principles and tools including encryption
  • Ability to translate data movement and transformation concepts and details from existing to new tech stacks
  • Ability to clearly communicate data-related concepts and details with internal colleagues, and external data partners and vendors
  • Detail-oriented and able to examine data and code for quality and accuracy
  • 2+ years of experience in data engineering
  • ETL experience preferred
  • Git experience preferred
  • SW certification or degree in IT or Computer Science related field

Responsibilities

  • Extracting, cleansing, and loading data
  • Building data pipelines using SQL, Kafka, and other technologies
  • Investigate and troubleshoot issues with data and data pipelines
  • Investigation and documentation of new data sets
  • Implement new data transformation configurations or ad-hoc reports
  • Triage incoming bugs and incidents
  • Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and define additional implementation details
  • Monitor data pipeline execution and performance
  • Perform and implement data quality checks to maintain consistent and accurate data
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