Data Engineering Manager at Spokeo | Pasadena, US
Company/Recruiter: Spokeo
✦ AI Summary
Spokeo is seeking a highly motivated and experienced Data Engineering Manager to lead our talented team.
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MorrJobs editorial notes
Our reading of this this opportunity Data Engineering Manager opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Spokeo. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.
What to demonstrate
Connect your CV or portfolio to Proven experience in data engineering with a strong track record of leading successful projects.; Extensive experience with cloud data platforms (e.g., AWS, GCP, Azure).. Use one concrete example that shows you can Lead and mentor a team of data engineers, fostering a collaborative and high-performing environment..
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Job Overview
The Data Engineering Manager will oversee the development and implementation of Spokeo's data pipelines, warehousing, and analytical infrastructure. You will guide a team of data engineers, foster best practices, and collaborate closely with product and engineering stakeholders to deliver data solutions that drive business insights and product innovation.Key Responsibilities
- Lead and mentor a team of data engineers, fostering a collaborative and high-performing environment.
- Design, build, and optimize scalable and reliable data pipelines and ETL processes.
- Develop and maintain our data warehouse and data lake solutions.
- Ensure data quality, integrity, and security across all data systems.
- Collaborate with cross-functional teams to understand data needs and deliver effective solutions.
- Drive the adoption of data engineering best practices and technologies.
- Manage project timelines, resources, and deliverables for data engineering initiatives.
Requirements
- Proven experience in data engineering with a strong track record of leading successful projects.
- Extensive experience with cloud data platforms (e.g., AWS, GCP, Azure).
- Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Experience with data modeling, warehousing, and ETL/ELT best practices.
- Strong understanding of data governance and security principles.
- Excellent communication, leadership, and interpersonal skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
What We Offer
- Competitive salary and benefits package.
- Opportunity to work with a leading people intelligence platform.
- A dynamic and collaborative work environment.
- Professional development and growth opportunities.
- The chance to make a significant impact on millions of users.
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