Data Engineer - Remote / Telecommute

Cynet Systems Inc; Minneapolis (MN); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineering Lead to spearhead a dynamic team of professionals. In this pivotal role, you will guide the development of innovative ETL processes and manage critical SQL and Teradata databases, ensuring data integrity and optimal performance. Collaborating with cross-functional teams, you will drive project success while implementing best practices in data quality and governance. This opportunity offers a chance to make a significant impact in a fast-paced environment, where your leadership and technical expertise will be key to the success of data initiatives.

Qualifications

• 5+ years of experience in data engineering with leadership experience.
• Proficiency in ETL processes and strong SQL skills required.

Responsibilities

• Lead and mentor a team of data engineers to ensure high performance.
• Oversee data integration projects, ensuring timely delivery.

Skills

Leadership

Problem-solving

Analytical Skills

Communication Skills

Education

Bachelor’s degree in Computer Science

Master’s degree in Information Technology

Tools

ETL tools

SQL

Snowflake

Oracle

MySQL

Job description

Job Description:

Responsibilities:

1. Team Leadership: Lead and mentor a team of data engineers, providing guidance and support to ensure high performance and professional growth.
2. Project Management: Oversee the planning, execution, and delivery of data integration projects, ensuring they are completed on time and within budget.
3. ETL Development: Design, develop, and optimize ETL processes to ensure efficient data extraction, transformation, and loading.
4. Database Management: Manage and maintain SQL and Teradata databases, ensuring data integrity, security, and performance.
5. Collaboration: Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver solutions.
6. Quality Assurance: Implement and enforce best practices for data quality, data governance, and data security.
7. Performance Tuning: Optimize database performance through indexing, query optimization, and other techniques.
8. Documentation: Maintain comprehensive documentation of data processes, workflows, and system configurations.

Required Skills and Qualifications:

1. Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
2. 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:

1. Proficiency in ETL tools and processes.
2. Strong SQL skills, including complex queries and performance tuning.
3. Extensive experience with Snowflake, including database design and management.
4. Familiarity with data warehousing concepts and best practices.
5. Knowledge of other database technologies (e.g., Oracle, MySQL) is a plus.

Soft Skills:

1. Excellent leadership and team management skills.
2. Strong problem-solving and analytical abilities.
3. Effective communication and interpersonal skills.
4. Ability to work in a fast-paced, dynamic environment.