Key Responsibilities and Deliverables:

• Data Warehouse Operations:
  • Oversee the operations of the data warehouse on Databricks within AWS, ensuring optimal performance and reliability.
  • Continuously optimize data warehouse performance, including query performance, storage, and data processing efficiency.

• ETL Development and Maintenance:
  • Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.
  • Manage and optimize data pipelines to ensure timely and accurate data processing and delivery.

• Data Quality and Monitoring:
  • Implement and monitor data quality checks to ensure accuracy, completeness, and consistency of data within the warehouse.
  • Set up and manage monitoring systems to detect and address data issues, performance bottlenecks, and system anomalies.

• Collaboration and Support:
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and architect scalable, high-performance data solutions that align with business objectives and best practices
  • Provide technical support and expertise on data-related issues and queries from other teams.

• Best Practices and Documentation:
  • Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations.
  • Implement and promote best practices for data engineering, including coding standards, data governance, and security measures.

Requirements

• Experience: Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management.
• Technical Skills: Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools.
• Analytical Skills: Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.
• Communication: Effective communication skills with the ability to convey technical information to non-technical stakeholders.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent working experience.

Compensation:

• Base Salary: $150,000 to $180,000
• Bonus – 20% of annual earnings
• Benefits:
  • 401(k) plus match
  • Dental insurance
  • Health insurance
  • Vision Insurance
  • Paid Time Off

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Additional information

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