Technical Lead

hace 2 meses


Guadalajara, Jalisco, México KMS Solutions A tiempo completo

KMS Solutions is a leading software development company dedicated to delivering innovative and high-quality software solutions to our clients. We are committed to excellence in every aspect of our work, and our team of talented professionals plays a key role in achieving this commitment.

Key Responsibilities:

  • Lead the design and architecture of 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.
  • Design and implement robust 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.
  • Stay updated with industry trends and advancements in Databricks and related technologies, recommending and implementing best practices.
  • Lead technical discussions and present solutions to stakeholders, including senior management.
  • Warehouse Management: Experience with warehouse operations and management systems, integrating warehouse data into broader analytics frameworks.
  • Work closely with warehouse teams to optimize data flows and ensure seamless integration with Databricks-based analytics solutions.
  • Provide guidance on warehouse data integration strategies, ensuring alignment with overall data architecture goals.

Requirements:

  • Experience: Minimum of 8 years 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.
  • Proficiency in designing and implementing scalable data pipelines and ETL processes using Databricks.
  • Strong leadership and mentoring skills, with a proven track record of leading successful data engineering teams.
  • Familiarity with warehouse management systems and their integration with analytical platforms.
  • Proven experience in data warehouse projects, with successful track record.
  • Excellent problem-solving abilities and the capacity to manage multiple projects simultaneously.

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