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Senior Data Engineering Manager

hace 2 meses


Guadalajara, Jalisco, México KMS Solutions A tiempo completo

KMS Solutions is a cutting-edge software development company dedicated to delivering innovative and high-quality software solutions to our clients worldwide. As we continue to grow, we are seeking an exceptional Senior Data Engineering Manager with expertise in Databricks to lead our data team.

We offer a highly competitive salary of $180,000 annually, commensurate with experience, plus benefits and perks that reflect our commitment to excellence.

Job Description

We are looking for a seasoned technical leader who can oversee the design, development, and implementation of scalable data pipelines and analytics solutions using Databricks. The ideal candidate will have a proven track record of leading successful data engineering teams, mentoring junior engineers, and driving data-driven decision-making processes.

Key Responsibilities:
  • Design and architect robust data solutions using Databricks, ensuring scalability, reliability, and performance.
  • Mentor and guide a team of data engineers, providing technical leadership and fostering a culture of innovation and excellence.
  • Develop and implement ETL processes and data pipelines on the Databricks platform.
  • Collaborate with cross-functional teams to define data requirements and translate them into technical solutions.
  • Optimize Databricks jobs and clusters for efficiency and cost-effectiveness, monitoring performance and troubleshooting issues as needed.
  • Ensure data quality and integrity across various data sources and platforms.
Qualifications
  • Minimum 8 years of experience in data engineering roles, with significant hands-on experience in Databricks and warehouse management systems.
  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degrees or certifications in data engineering or warehouse management are a plus.
  • Proven leadership and mentoring skills, with a strong track record of leading successful data engineering teams.
  • Familiarity with warehouse management systems and their integration with analytical platforms.
  • Excellent problem-solving abilities and capacity to manage multiple projects simultaneously.

We offer a collaborative work environment, opportunities for professional growth, and a comprehensive benefits package, including health insurance, retirement plan, and paid time off. If you're passionate about leading data engineering teams and driving business outcomes through data-driven insights, please apply today