A leading tech firm is seeking an experienced Data Engineering Manager to lead and mentor a team of engineers. Your responsibilities will include overseeing data integration projects, optimizing ETL processes, and managing SQL and Teradata databases. The ideal candidate will have at least 5 years of experience in data engineering, with strong leadership qualities and proficiency in SQL and Snowflake. This role offers opportunities for professional growth in a dynamic environment.
Qualifications
Minimum of 5 years of experience in data engineering or a related field, with at least 2 years in a leadership role.
Familiarity with data warehousing concepts and best practices.
Responsibilities
Lead and mentor a team of data engineers.
Oversee planning and execution of data integration projects.
Design, develop, and optimize ETL processes.
Manage SQL and Teradata databases.
Work closely with cross-functional teams for data solutions.
Implement best practices for data quality and governance.
Optimize database performance.
Maintain documentation of data processes.
Skills
Leadership and mentoring
Project management
ETL development
SQL proficiency
Performance tuning
Collaboration
Education
Bachelor's or Master's degree in Computer Science, IT, or related field
Tools
ETL tools
Snowflake
Oracle
MySQL
Job description
Key Responsibilities:
Team Leadership: Lead and mentor a team of data engineers, providing guidance and support to ensure high performance and professional growth.
Project Management: Oversee the planning, execution, and delivery of data integration projects, ensuring they are completed on time and within budget.
ETL Development: Design, develop, and optimize ETL processes to ensure efficient data extraction, transformation, and loading.
Database Management: Manage and maintain SQL and Teradata databases, ensuring data integrity, security, and performance.
Collaboration: Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver solutions.
Quality Assurance: Implement and enforce best practices for data quality, data governance, and data security.
Performance Tuning: Optimize database performance through indexing, query optimization, and other techniques.
Documentation: Maintain comprehensive documentation of data processes, workflows, and system configurations.
Required Skills and Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Experience: Minimum of 5 years of experience in data engineering or a related field, with at least 2 years in a leadership role.
Technical Skills:
Proficiency in ETL tools and processes.
Strong SQL skills, including complex queries and performance tuning.
Extensive experience with Snowflake, including database design and management.
Familiarity with data warehousing concepts and best practices.
Knowledge of other database technologies (e.g., Oracle, MySQL) is a plus.
Soft Skills:
Excellent leadership and team management skills.
Strong problem-solving and analytical abilities.
Effective communication and interpersonal skills.
Ability to work in a fast-paced, dynamic environment.