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Senior Data Warehouse Engineer

companyUnreal Gigs
locationSan Francisco, CA, USA
PublishedPublished: 6/14/2022
Full Time

Job Description

Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to leveraging the power of data to drive transformative change and solve complex problems across industries. We're committed to building scalable and efficient data warehousing solutions that enable advanced analytics, reporting, and business intelligence. Join us and be part of a dynamic team shaping the future of data warehouse engineering.

Position Overview: As a Senior Data Warehouse Engineer, you'll play a critical role in designing, building, and maintaining our data warehousing solutions. You'll work on challenging projects, from data modeling and ETL processes to performance optimization and data governance, to support the needs of our data-driven organization. If you're a seasoned engineer with expertise in data warehousing technologies and a passion for building robust data systems, we want you on our team.

Requirements

Key Responsibilities:

  1. Data Warehouse Design: Design and implement data warehouse solutions, including data models, schemas, and architecture, to meet business requirements and enable efficient data storage and retrieval.
  2. ETL/ELT Processes: Develop and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data warehouse, ensuring data quality, integrity, and consistency.
  3. Performance Optimization: Optimize data warehouse performance through indexing, partitioning, and query optimization techniques, ensuring scalability and responsiveness for analytical and reporting needs.
  4. Data Governance: Implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements, including access controls, data masking, and encryption.
  5. Monitoring and Alerting: Implement monitoring and alerting systems to track data warehouse performance and health, proactively identifying and resolving issues to minimize downtime and data loss.
  6. Documentation and Best Practices: Document data warehouse design, processes, and best practices, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.
  7. Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand requirements and deliver data solutions that meet business needs.
  8. Mentorship and Knowledge Sharing: Mentor junior engineers, sharing expertise and best practices in data warehouse engineering, and facilitate knowledge sharing sessions within the team.


Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in data engineering, with a focus on designing, building, and maintaining data warehousing solutions.
  • Proficiency in SQL and experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or similar.
  • Strong understanding of data modeling principles and techniques, with experience designing and implementing data models and schemas for data warehouses.
  • Experience with ETL/ELT processes, data integration, and data governance in a data warehouse environment.
  • Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data issues and optimize system performance.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

  • Competitive salary: The industry standard salary for Senior Data Warehouse Engineers typically ranges from $170,000 to $230,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of data-driven innovation.


Join Us:
Ready to shape the future of data warehouse engineering? Apply now to join our team and be part of the data revolution!

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