Senior Data Warehouse Engineer

As a Senior Data Warehouse Engineer at Paradym, you’ll play a vital role in constructing data models, pipelines, and storage solutions that inform strategic decisions. You are tasked with creating and optimizing ETL processes specifically using Clickhouse, ensuring that our Analytics and Operational teams have access to accurate data promptly. This involves hands-on engagement with cutting-edge technologies and collaborating closely with unique stakeholders within the organization.

To qualify for the Senior Data Warehouse Engineer role at Paradym, you should have a robust IT background, ideally with at least 7 years of experience in the field. Of these, 3 years should be in a dedicated data warehousing role. Proficiency in SQL is essential, alongside a strong understanding of Kimball and Inmon methodologies. Experience with dbt, Airflow or Dagster, and knowledge of Clickhouse will also be significant assets.

At Paradym, Senior Data Warehouse Engineers utilize a variety of tools designed for high-scale deployment and data processing. Your primary focus will be on SQL for database management, Clickhouse for storage, and dbt for transforming data. Additionally, tools like Airflow or Dagster for workflow orchestration will be part of your suite, enhancing your ability to manage ETL processes efficiently.

Collaboration is crucial for a Senior Data Warehouse Engineer at Paradym. You’ll engage closely with stakeholders across various departments to understand their data needs and translate those into effective technical specifications. By fostering strong relationships, you not only ensure that the data solutions meet strategic goals but also contribute to the overall success of the innovative projects underway.

Paradym is designed to be an environment rich in opportunities for growth. As a Senior Data Warehouse Engineer, you’ll not only advance your technical skills but also develop leadership abilities by working on groundbreaking projects that redefine the gaming industry. With a culture that promotes innovation and creativity, you will have the chance to shape your career path while making a meaningful impact in the crypto gaming landscape.

In your interview, be prepared to detail your previous experience with data warehousing. Discuss specific projects where you built data pipelines or implemented ETL processes, highlighting tools you've used such as Clickhouse, dbt, or others. Describe how you handled challenges and ensured data quality, as these insights will showcase your practical know-how.

While answering, outline familiar techniques such as Kimball and Inmon, explaining the differences and contexts best suited for each. Discuss scenarios where you've successfully applied these techniques in previous roles and how they contributed to the effectiveness of data solutions you developed.

SQL is fundamental for any Senior Data Warehouse Engineer. Discuss your proficiency in SQL, including complex queries, data manipulation, and performance tuning. Share examples of how you've used SQL to extract insights or manage data in past projects, emphasizing its importance in your daily tasks and decision-making processes.

In your response, outline methods you've employed to ensure data accuracy, such as validation checks, testing of data pipelines, and regular auditing of data sources. Discuss any best practices you follow to maintain data integrity over time and the importance of accurate data in making strategic decisions.

Share your experiences with tools like Airflow or Dagster, articulating why you prefer them. Discuss your previous implementations and how these tools helped streamline processes within data pipelines, allowing for better scheduling and monitoring of ETL tasks.

Talk about your methodology for understanding stakeholder needs and how you break down business requirements into actionable technical specifications. Provide examples of past projects where this determination was key to successfully implementing data solutions.

In your answer, showcase any experience with real-time data processing scenarios, mentioning technologies or platforms you used. Discuss the challenges you faced and how you overcame them, as well as the impact that real-time processing had on decision-making within the organization.

Be honest about challenges you faced, such as scaling data solutions, managing stakeholder requests, or ensuring timely data updates. Explain how you tackled these challenges and what you learned from the experiences, showing your ability to adapt and innovate.

Discuss your systematic approach to identifying and addressing performance issues, whether they stem from inefficient queries or bottlenecks in ETL processes. Highlight specific tools or techniques you use for optimization and the outcomes you achieved when implementing improvements.

Take this opportunity to express your enthusiasm for Paradym's mission in the crypto gaming sector. Discuss what excites you about the role and how your skills and experiences align with the company's goals. Demonstrating passion for the industry is always a compelling point to share!