Data Engineer

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. #J-18808-Ljbffr