Business Data Engineer

MYRIAD GENETICS, INC.

Remote · USJobSeen 4 days agoSeen in employer's feed 4 days ago

Remote · USJobNo compensation foundSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation

No compensation found

Location

Remote · US

Work Authorization

Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Business Data Engineer leads the design, development, and maintenance of ETL processes and business data pipelines. The role extracts commercial data into Snowflake, performs transformations, creates dashboards, and builds frameworks for varied data formats. It also includes data quality checks, collaboration with commercial product managers, documentation, and monitoring emerging data engineering technologies.

Skills & qualifications

RequiredNice to have

Skills

ETLFivetran or MatillionSnowflakeOracle Data TransformationsJSONCSVAPIsSFTPSQLPythonAWS Cloud ServicesGithub AdministrationAgile/Scrum SDLC

Qualifications

Master's Degree in Computer Science2 Years in Job Offered

Full job description

Lead the design, development, and maintenance of ETL processes using Snowflake and AWS Cloud Services. Extract structured and semi-structured commercial datasets from upstream Oracle source systems into Snowflake cloud data warehouses. Ensure smooth data extraction, transformation and loading using Fivetran. Improve business data pipelines for efficiency, performance and scalability. Use BigQuery to execute complex data transformations to meet business requirements for marketing teams. Create dashboards using Looker. Utilize custom frameworks including SFTP and APIs to handle data stored in CSV, JSON, and relational databases. Manage data codebase integrity, version control pipelines, and software deployment using Github. Create robust framework to streamline data transformations accommodating all structured and unstructured data formats and supporting automated scheduling/monitoring. Generate and troubleshoot advanced code using SQL and Python. Implement automated data quality checks and validation processes. Work with commercial product managers to ensure accurate/reliable data delivery. Document ETL processes, data models, and framework functionalities. Stay updated on emerging technologies and trends in data engineering. Requirements: Master's Degree in Computer Science, plus 2 years of experience in job offered, proficiency with ETL, Fivetran or Matillion, Snowflake, complex Oracle data transformations, JSON, CSV, APIs, SFTP, SQL, Python, AWS Cloud Services, Github administration, and Agile/Scrum SDLC. Telecommute Possible

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