Data Engineer Lead

At Lobox, we value diversity and are committed to creating an inclusive work environment

Position: Data Engineer Lead

Location: San Francisco, California, United States

Salary: $310000 - $360000

Company Overview: Lobox is a leading technology company that specializes in collecting, analyzing, and utilizing data to drive business decisions. We are dedicated to providing our clients with innovative solutions and services to help them stay ahead in today's competitive market.

Job Overview: We are seeking a highly skilled and experienced Data Engineer Lead to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining our company's data infrastructure. You will work closely with cross-functional teams to ensure the efficient and accurate collection, storage, and retrieval of data. The ideal candidate is a self-starter with a strong background in data engineering, a passion for problem-solving, and excellent communication skills.

Key Responsibilities:

• Lead a team of data engineers and oversee all aspects of data engineering projects.
• Design, develop, and maintain data pipelines and ETL processes to support data integration, transformation, and loading.
• Collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality.
• Identify and resolve data-related issues in a timely manner, ensuring data accuracy and consistency.
• Implement and maintain data governance policies and procedures to ensure data security and compliance.
• Manage and optimize data storage systems and databases for maximum performance and scalability.
• Develop and maintain data documentation, data dictionaries, and data flow diagrams.
• Stay up-to-date with the latest trends and advancements in data engineering and advise on best practices and tools to improve data processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 5 years of experience in data engineering, with at least 2 years in a leadership position.
• Proven experience in designing and developing data pipelines and ETL processes using tools such as Apache Spark, Hadoop, or AWS Glue.
• Strong SQL skills and experience working with relational and NoSQL databases.
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with cloud computing platforms and services, preferably AWS.
• Strong understanding of data modeling and data architecture principles.
• Excellent problem-solving and analytical skills with the ability to think critically and creatively.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

We offer competitive compensation, benefits, and opportunities for growth and development. If you are a driven and passionate Data Engineer Lead, we encourage you to apply and be a part of our growing team.