PURIS is seeking a skilled Data Warehouse Engineer to design and optimize data pipelines that empower our organization with actionable insights. In this role, you'll architect robust data warehouses using modern technologies to support analytics and business growth.

At PURIS, we are at the forefront of transforming data into strategic assets that drive our business forward. As a Data Warehouse Engineer, you will play a pivotal role in building and maintaining our enterprise data infrastructure. This involves creating efficient ETL pipelines to ingest, transform, and load data from various sources into centralized warehouses, ensuring high availability and scalability.

You will collaborate with data analysts, scientists, and business stakeholders to understand requirements and deliver solutions that enable advanced reporting and analytics. Key responsibilities include optimizing query performance, implementing data security measures, and integrating emerging technologies to keep our systems cutting-edge.

Key Responsibilities:

• Design and implement scalable data warehouse architectures.
• Develop and maintain ETL/ELT processes using industry-standard tools.
• Perform data modeling and schema design to support complex queries.
• Monitor and troubleshoot data pipeline performance and issues.
• Collaborate on data governance initiatives to ensure compliance and quality.
• Stay updated with trends in big data technologies and recommend innovations.

If you are passionate about data engineering and thrive in a dynamic environment, join us at PURIS to make a tangible impact on our data-driven future.

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data warehousing, ETL processes, and database management
• Proficiency in SQL, Python, or similar scripting languages for data manipulation
• Expertise with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse
• Strong knowledge of data modeling techniques (e.g., star schema, snowflake schema)
• Experience with tools like Apache Airflow, Talend, or Informatica for orchestration
• Familiarity with data governance and quality assurance practices
• Excellent problem-solving skills and ability to work in a collaborative environment

• Competitive monthly salary range with performance-based incentives
• Comprehensive health, dental, and vision insurance coverage
• Remote work flexibility with options for hybrid arrangements
• Professional development opportunities including certifications and conferences
• Generous paid time off and flexible vacation policy
• 401(k) retirement plan with company matching
• Employee wellness programs and mental health support
• Collaborative and innovative work culture