Data Engineer Manager

If you are a highly motivated and results-driven Data Engineer Manager looking for an exciting opportunity to lead a talented team and make a significant impact on our data-driven organization, we encourage you to apply for this role

Job Title: Data Engineer Manager

Location: New York, New York, United States

Salary: $115 Per hour

We are seeking a highly skilled and experienced Data Engineer Manager to join our growing team. As the Data Engineer Manager, you will be responsible for managing a team of data engineers and overseeing all data-related projects and initiatives within the organization.

Key Responsibilities:

• Lead and manage a team of data engineers, providing guidance, mentorship, and support to ensure the team's success.
• Develop and implement data engineering processes and best practices to ensure the accuracy, completeness, and reliability of data.
• Collaborate with cross-functional teams to understand data needs and requirements, and develop data solutions to meet business needs.
• Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and load data from various sources.
• Monitor and optimize data performance and quality, troubleshoot issues, and resolve data discrepancies.
• Stay up-to-date with emerging technologies and industry trends, and recommend and implement new tools and techniques to improve data quality and efficiency.
• Manage data security and privacy measures, ensuring compliance with data governance policies and regulations.
• Provide regular reports and updates to stakeholders, including senior management, on data engineering projects, progress, and performance.
• Hire, train, and develop data engineering team members, and foster a culture of continuous learning and improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of 5 years of experience in data engineering, with at least 2 years in a managerial or leadership role.
• Proven experience in designing, developing, and maintaining data pipelines and ETL processes.
• Strong knowledge of SQL, database design, and data warehousing concepts.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data integration tools, such as Informatica, Talend, or Matillion.
• Excellent analytical, problem-solving, and project management skills.
• Ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience in managing and leading a team, with a track record of building high-performing teams.
• Strong understanding of data governance, security, and privacy principles.
• Self-motivated, adaptable, and able to thrive in a fast-paced, dynamic environment.

Join us and be a part of our journey to leverage data to drive business growth and success.