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Title
Text copied to clipboard!Data Engineer Lead
Description
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We are looking for a skilled Data Engineer Lead to oversee and guide our data engineering team in designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have extensive experience in data engineering, strong leadership abilities, and a deep understanding of data management technologies. As a Data Engineer Lead, you will collaborate with cross-functional teams to ensure data quality, availability, and security, enabling data-driven decision-making across the organization. Your role will involve mentoring junior engineers, setting best practices, and driving innovation in data processing and storage solutions. You will be responsible for evaluating new tools and technologies to improve data workflows and performance. This position requires excellent problem-solving skills, effective communication, and the ability to manage multiple projects simultaneously in a fast-paced environment. Join us to lead our data engineering efforts and contribute to the success of our data-driven initiatives.
Responsibilities
Text copied to clipboard!- Lead and manage the data engineering team to deliver high-quality data solutions.
- Design, develop, and maintain scalable data pipelines and architectures.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs.
- Ensure data quality, integrity, and security across all data systems.
- Mentor and train junior data engineers to enhance team capabilities.
- Evaluate and implement new data technologies and tools.
- Develop and enforce best practices for data engineering processes.
- Monitor system performance and troubleshoot data-related issues.
- Coordinate with IT and business units to align data strategies.
- Document data engineering processes and workflows.
Requirements
Text copied to clipboard!- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Proven experience as a data engineer with leadership responsibilities.
- Strong proficiency in SQL, Python, and data pipeline frameworks like Apache Airflow or similar.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of big data technologies like Hadoop, Spark, or Kafka.
- Familiarity with data warehousing solutions and ETL processes.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal abilities.
- Ability to manage multiple projects and meet deadlines.
- Experience with data governance and compliance standards.
Potential interview questions
Text copied to clipboard!- Can you describe your experience leading a data engineering team?
- What data pipeline tools and technologies are you most proficient with?
- How do you ensure data quality and integrity in your projects?
- Describe a challenging data engineering problem you solved.
- How do you stay updated with emerging data technologies?
- What strategies do you use to mentor junior engineers?
- How do you handle conflicts within your team?
- Explain your experience with cloud data platforms.
- What is your approach to documenting data workflows?
- How do you prioritize tasks in a fast-paced environment?
