Senior Data Curation Engineer

Posted 3 Days Ago
Be an Early Applicant
Canada
Senior level
Security • Software • Cybersecurity
The Role
Senior Data Curation Engineers at McAfee develop high-quality, curated data products on the Databricks platform. They collaborate with Technical Data Stewards and business end-users, ensuring data products meet specifications and governance standards. Responsibilities include data modeling, aggregation, implementation of ETL/ELT processes, and maintaining data quality.
Summary Generated by Built In

Role Overview:

We're looking for experienced data engineers to join our Enterprise Analytics team as Senior Data Curation Engineers! Reporting to the Capability Lead – BI & Data Curation, this essential role within McAfee's enterprise data curation strategy team will be able to shape and develop high-quality, certified, and curated data on the Databricks platform using advanced analytical modeling.
Help us make impactful contributions to our data-driven initiatives.This role requires a deep understanding of:
- Database modeling
- ETL/ELT
- Data aggregation
- Data curation design and development
- Certified data models and single sources of truth
- Data quality
We are only considering candidates located in Canada and are not providing relocation at this time.

About the role:

  • 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 sprint methodology. 

  • Implement change requests to production data curations. 

  • Ensure adequate documentation and cataloging of data products. 

  • Ensure clear handoffs of data products to technical stewards. 

  

About you:   

  • Bring 8+ years of experience in data engineering, data modeling, and ETL/ELT 

  • Have hands-on experience with and understanding of the following: 

  • SQL/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 

#LI-Remote


Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits and Perks:

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.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Top Skills

Sql,Sparksql,Python
The Company
HQ: Santa Clara, CA
7,996 Employees
On-site Workplace

What We Do

McAfee is a global organization with a 30-year history and a brand known the world over for innovation, collaboration and trust. McAfee’s historical accomplishments are founded upon decades of threat and vulnerability research, product innovation, practical application and a brand which individuals, organizations and governments have come to trust.

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