Data Warehouse Engineer
2 weeks ago
Position Overview: As a Data Warehouse Engineer, you'll play a crucial role in designing, building, and maintaining our data warehouse infrastructure and systems. Working closely with cross-functional teams of data analysts, business intelligence developers, and software engineers, you'll ensure the reliability, performance, and scalability of our data warehouse solutions. If you're passionate about data engineering and eager to drive innovation through scalable data warehouse solutions, we want you on our team.
Requirements
Key Responsibilities:
- Data Warehouse Design: Design and architect scalable and efficient data warehouse solutions, including data models, schemas, and storage structures.
- ETL Development: Develop and maintain ETL (Extract, Transform, Load) processes to extract data from source systems, transform it to meet business requirements, and load it into the data warehouse.
- Data Modeling: Design and implement dimensional and normalized data models to support reporting, analytics, and business intelligence applications.
- Data Integration: Integrate data from diverse sources, including databases, applications, APIs, and flat files, ensuring data consistency and integrity.
- Performance Optimization: Optimize data warehouse performance for query speed, concurrency, and scalability, tuning SQL queries, indexing strategies, and partitioning schemes.
- Data Quality and Governance: Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data in the warehouse.
- Monitoring and Maintenance: Monitor data warehouse performance and health, proactively identifying and addressing issues to minimize downtime and optimize resource utilization.
- Documentation and Collaboration: Document data warehouse architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.
Qualifications:
- Bachelor's degree or higher in Computer Science, Engineering, or related field.
- Strong background in data engineering, with hands-on experience in designing, building, and maintaining data warehouse solutions.
- Proficiency in SQL and database technologies such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Experience with data warehouse platforms and technologies such as Amazon Redshift, Google BigQuery, Snowflake, or Microsoft Azure SQL Data Warehouse.
- Familiarity with ETL tools and technologies such as Apache Airflow, Talend, Informatica, or AWS Glue.
- Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Competitive salary: The industry standard salary for Data Warehouse Engineers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
- 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 team-building activities and social events.
- Opportunities for career growth and advancement within the company.
- Exciting projects with real-world impact across diverse industries.
- Chance to work alongside top talent and industry experts in the field of data warehouse engineering.
Join Us: Ready to shape the future of data warehouse engineering? Apply now to join our team and be part of an exciting journey of innovation and discovery
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