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Title
Text copied to clipboard!Manager Data Engineering
Description
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We are looking for a skilled Manager Data Engineering to lead our data engineering team in designing, building, and maintaining scalable data pipelines and infrastructure. The ideal candidate will have extensive experience in data architecture, data integration, and managing cross-functional teams to deliver high-quality data solutions that support business intelligence and analytics initiatives. This role requires strong leadership abilities, technical expertise in big data technologies, and a strategic mindset to align data engineering efforts with organizational goals. Responsibilities include overseeing the development of data models, ensuring data quality and security, collaborating with data scientists and analysts, and driving innovation in data processing techniques. The Manager Data Engineering will also be responsible for mentoring team members, managing project timelines, and coordinating with stakeholders to meet business requirements. A deep understanding of cloud platforms, ETL processes, and data warehousing is essential. This position offers an opportunity to shape the data infrastructure of a forward-thinking company and contribute to data-driven decision-making processes.
Responsibilities
Text copied to clipboard!- Lead and manage the data engineering team to deliver robust data solutions.
- Design, develop, and maintain scalable data pipelines and architectures.
- Ensure data quality, integrity, and security across all data systems.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs.
- Implement best practices for data management and governance.
- Monitor and optimize data processing performance and costs.
- Mentor and develop team members’ technical and professional skills.
- Manage project timelines, resources, and deliverables effectively.
- Stay updated with emerging data technologies and recommend improvements.
- Coordinate cross-functional efforts to align data engineering with business goals.
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Proven experience in data engineering and team management.
- Strong knowledge of big data technologies such as Hadoop, Spark, Kafka.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Proficiency in programming languages such as Python, Java, or Scala.
- Familiarity with ETL tools and data warehousing solutions.
- Excellent problem-solving and analytical skills.
- Strong communication and leadership abilities.
- Experience with data modeling and database design.
- Ability to manage multiple projects and priorities simultaneously.
Potential interview questions
Text copied to clipboard!- Can you describe your experience managing data engineering teams?
- What big data technologies are you most proficient with?
- How do you ensure data quality and security in your projects?
- Describe a challenging data engineering project you led and how you handled it.
- How do you stay current with emerging data technologies?
- What strategies do you use to align data engineering efforts with business objectives?
