Senior Data Engineer

As a Senior Data Engineer at Conga, your primary responsibilities will include participating in database design and dimensional modeling, developing ETL processes using the Talend Cloud platform, and constructing data architectures on Snowflake. You'll design Operational Data Stores to facilitate data extraction from business applications, curate data for analytics, and establish data models that support reporting and data science initiatives.

To be considered for the Senior Data Engineer position at Conga, you must hold a minimum of a Master’s degree in Computer Science, Applied Computer Science, or a related field, coupled with at least three years of experience in developing ETL processes and leveraging Snowflake for building data architectures. A strong background in dimensional modeling and data management is essential.

In the Senior Data Engineer role at Conga, you will work extensively with Talend Cloud for ETL processes and Snowflake for data warehousing. Additionally, you'll utilize PySpark for developing data pipelines and engage with various data modeling methodologies including star schema and Snowflake schema modeling.

Conga is dedicated to employee growth and development, offering numerous opportunities for personal and professional progress. As a Senior Data Engineer, you'll be able to participate in team development programs, workshops, and training sessions designed to enhance your technical skills and domain knowledge, aligning with our commitment to a thriving workplace.

The compensation for a Senior Data Engineer at Conga reflects our commitment to fair and competitive pay. The U.S. base salary range for this full-time position is between $169,187.00 and $173,645.00 per year, in addition to variable incentive pay and a comprehensive benefits package.

When answering this question, highlight specific ETL tools you've worked with, such as Talend Cloud, and provide examples of how you've designed and implemented ETL processes. Discuss the scale of data you've handled and any challenges you've navigated.

In your response, delve into the methodologies you apply for dimensional modeling. Discuss star schema and snowflake schema, and explain how you choose one over the other based on business requirements, data characteristics, and query performance.

Discuss the validation checks you incorporate during the ETL process, such as data profiling, cleansing, and monitoring techniques. Emphasize your proactive approach in identifying and rectifying data quality issues before they affect analytics.

Provide specific examples of projects where you've utilized Snowflake, detailing how you leveraged its features such as scalability, performance optimization, and data sharing. Discuss the impact of these projects on the overall data architecture.

When responding, reference situations where you integrated data from various sources into a unified system. Describe the tools you used, the challenges faced, and how you maintained data integrity and consistency.

Explain your approach to designing an ODS, including the selection of data sources, schema design, and integration methods. Highlight any tools or technologies you prefer for facilitating seamless data extraction and loading.

For this question, mention the strategies you implement to enhance the performance of data pipelines, such as indexing, partitioning, or optimizing queries. Use real-life examples to demonstrate the effectiveness of your tuning efforts.

Discuss your approach to collaboration, emphasizing the importance of understanding business requirements. Provide instances where your communication with analysts and stakeholders led to successful project outcomes.

Mention the resources you utilize to keep abreast of developments in data engineering, such as industry blogs, webinars, online courses, or professional networks. Discuss how you apply this knowledge to enhance your work.

This is your chance to express your enthusiasm for Conga's mission and company culture. Reflect on how your skills align with the role, and how you envision contributing to the team's goals. Mention specific aspects of Conga that attract you to the company.