Engineer

• Develop and maintain DWH and Data Lake solutions aligned with business requirements
• Build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies
• Integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems
• Work with Trino and cloud-based analytical platforms to support reporting and analytics needs
• Implement and support incremental loading, CDC processes, backfills, and reprocessing workflows
• Monitor, troubleshoot, and improve data pipelines for reliability, stability, and timely data delivery
• Implement data quality checks, validation rules, and automated monitoring processes
• Optimize SQL queries, data models, and pipeline performance
• Collaborate with analysts, BI developers, engineers, and business stakeholders on scalable data solutions
• Participate in code reviews and contribute to engineering standards and best practices

Explore DWH Engineer at Gypsy Collective. Review requirements and application details.

DWH Engineer

Azure Stack HCI Engineer

Platform – System Validation Engineer

Test Automation, CI Engineer

RDMA Performance Engineer

GraphRAG Engineer

Configuration Engineer

Senior Reverse Engineer

Senior Snowflake Engineer