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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