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Develop high-quality, curated data products including tables, schemas, and aggregates via SQL/SparkSQL
Understand data product requirements and liaise with Technical Data Stewards and business end-users to ensure alignment to business needs.
Ensure data products meet curation specifications, guidelines, governance standards, and business requirements with Lakehouse medallion architecture.
Experience with data catalogs such as Unity and Collibra.
Follow Agile sprintmethodology.
Implement change requests to production data curations.
Ensure adequate documentation and cataloging of data products.
Ensure clear handoffs of data products to technical stewards.
Bring 8+ years of experience in data engineering, data modeling, and ETL/ELT
Have hands-on experience with and understanding of the following:
SparkSQL
Python or other programming language
Databricks or other cloud data management platform
Data aggregation, relational database modeling, and common data structures
Design and implementation of logical and physical data modeling
ETL/ELT tools such as Apache Airflow
Data quality guidelines
Data governance and data curation models
Master data management
Data profiling
Bring proven experience in development within a Lakehouse data platform
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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