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andorganize data platforms, including databases and data structures, data storage, access, loading, and pipeline design.
Collaborate with data stewards and data engineers on solution design.
Develop andmaintainphysical data models for the Databricks platform.
Managemetadata in data catalog tools, such as Collibra.
Ensure adherence to data curation standards and guidelinesfor medallion certification framework and required architecture.
Ensure the platform and platform design meets required security and compliance guidelines including PII management.
Provide oversight todatacuration teams,ingestion engineersand data engineers, including code review and data model design review to ensure adherence to standards and best practices.
6+ years of experience in data engineering, data modeling, and ETL/ELT.
Have experienceas a senior engineer, including conducting code reviews.
Have hands-on experience withsix or more of the following:
Design and implementation of logical and physical data models.
Data modeling tools, such as Erwin or ER/Studio.
Databricks /Spark.
Lakehouse architectureand medallion data organization.
ETL/ELT development, monitoring,pipeliningand orchestration.
Python/PySpark, Scala or similar programming language.
Data quality guidelinesand testing frameworks.
Creating technical design documents and data flow diagrams.
CI/CD pipelines.
Agile sprints.
Git and version control.
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
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