Chamberlain Group is a global leader in access solutions with top brands, such asLiftMasterand Chamberlain,found in millions of homes, businesses, and communities worldwide.
As a leader in the Smart Home industry, we boast one of the largest IoT install bases, with innovative products consisting of cameras, locks, card readers, garage door openers, gates and more, all powered by ourmyQdigital ecosystem.
Job Summary
This role is responsible for providing technical leadership and execution expertise to design and deliver end-to-end data engineering solutions to support new product development and advanced analytics capabilities.
Essential Duties and Responsibilities
Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions
Build and maintain real-time and batch data pipelines across the advanced analytics platform, including design of data flows, procedures, and schedules for internally and extremally sourced data
Partner with the Lead Architect in lead architecture and solution design
Perform design, code, and test plan reviews in support of maintaining data engineering standards
Collaborate with data scientists to prepare data for model development and production
Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
Protect Chamberlain Group's reputation by keeping information confidential.
Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
Contribute to the team effort by accomplishing related results and participating on projects as needed.
Minimum Qualifications
Education/Certifications:
Bachelor's degree in computer science or related quantitative field of study
Experience:
7+ years of hands-on professional data engineering experience
2+ years of professional experience delivering engineering for advanced analytics or data science solutions
Demonstrated experience with technologies such as Databricks, Synapse, Azure Data Factory, Event Hubs, and Azure Devops
Knowledge, Skills, and Abilities:
Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic
Strong knowledge of modern machine learning techniques, preferred
Agile methodologies
Data visualization tools, such as Qlik or Power BI, preferred
Expert proficiency in programming and querying languages including Python and SQL
Proficiency in big data processing, including Apache Spark or Databricks
Proficiency in building and optimizing big data and real time pipelines, datasets, and architectures in cloud environments, preferably Azure using services such as Event Hubs or Kafka
Other:
Preferred Qualifications
Education/Certifications:
Master's degree in computer science or related quantitative field of study
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Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence .
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.