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Requirements and responsibilities
About ScalepexScalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.Job SummaryWe are looking for a Data Engineer to join our DataOps team, focused on delivering high-quality data pipelines, transformations, and integrations for healthcare-related data.This role is highly hands-on with SQL, data processing, and troubleshooting, working closely with internal teams and external partners to ensure data accuracy, scalability, and performance.Key ResponsibilitiesExtracting, 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 setsImplement new data transformation configurations or ad-hoc reportsTriage 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. Resolve discovered issues collaboratively.Perform and implement data quality checks to maintain consistent and accurate data.Required QualificationsSolid grasp of modern relational and non-relational models and differences between them.Expert in writing complex SQL, including pivots, window functions, and complex date calculationsExpert in analyzing and parsing flat file data structures.Proficient in EDI X12 formats related to healthcare claims processingProficient in the use of Excel and familiar with analytical tools such as Tableau, MicroStrategy, PowerBI, etc…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 Preferred QualificationsETL experience preferredGit experience preferredSW certification or degree in IT or Computer Science related fieldBenefitsContractor scheme100% Remote
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