Senior Data Engineer

To qualify for the Senior Data Engineer role at Great American Insurance Group, candidates should possess a bachelor's degree in Computer Science, Computer Engineering, or a related field. Moreover, the position requires at least five years of experience in software development, with a focus on Informatica. Candidates should also have a minimum of three years of experience with SSIS, MS SQL, SQL Server, and Oracle, and at least one year working with Snowflake. This combination of education and experience ensures that you are well-prepared for the technical challenges of the role.

As a Senior Data Engineer at Great American Insurance Group, your day-to-day tasks will involve designing, coding, testing, debugging, and maintaining a variety of application programs. You'll work closely with other team members to formulate and define system scope and objectives, develop detailed design specifications, and ensure the applications you work on meet the needs of the business. Working within an agile scrum environment, collaboration and communication will be key to driving projects forward.

In the Senior Data Engineer position at Great American Insurance Group, you will utilize a range of powerful tools and technologies. Key platforms you will work with include Informatica, SSIS, MS SQL, SQL Server, Oracle, and Snowflake. Your proficiency in these tools will be instrumental in crafting effective data solutions that support business objectives and facilitate data-driven decision-making.

At Great American Insurance Group, diversity and inclusion are fundamental to our values. We actively encourage an inclusive workplace that promotes collaboration between employees from various backgrounds, cultures, and experiences. This commitment helps us harness different perspectives, leading to innovative solutions and enhanced business results. Great American believes that when all employees feel valued and included, it fosters a more productive and fulfilling work environment.

Senior Data Engineers at Great American Insurance Group benefit from a comprehensive Total Rewards package. This includes medical, dental, and vision plans starting on day one, generous PTO, paid holidays, and commuter benefits. Additional offerings such as an employee stock purchase plan, education reimbursement, paid parental leave, and a 401(k) plan with company match help ensure that our employees feel valued and supported. Details about specific compensation ranges can be obtained during the hiring process.

When discussing your experience with Informatica, focus on specific projects where you've used this tool to develop ETL processes. Highlight examples where you've successfully managed data transformations and integrations, showcasing your problem-solving skills and ability to optimize performance. Be prepared to share the challenges you faced and how you overcame them to ensure smooth operations.

When answering this question, emphasize your systematic approach to debugging and testing. Mention specific techniques you use, such as debugging tools, logging practices, and unit testing. It’s crucial to convey your understanding of the importance of thorough testing and validation in ensuring data integrity and system reliability.

Here, share a detailed example of a challenging project involving data systems. Discuss the obstacles you faced, such as tight deadlines or technical issues, and explain the steps you took to address them. Highlight your analytical skills, teamwork, and how your contributions led to the project's success, showcasing your ability to handle pressure in a professional setting.

In your response, stress the importance of clear and open communication in an agile environment. Discuss specific strategies you've implemented, such as regular stand-up meetings, utilizing collaboration tools, and encouraging feedback. Provide examples of how effective communication has improved team efficiency and project outcomes.

When addressing your Snowflake experience, share specific instances where you've used the platform for data warehousing or analytics. Highlight your understanding of its architecture, scalability, and performance optimization techniques. Providing examples of past implementations will demonstrate your hands-on experience and technical aptitude.

Describe your approach to task prioritization, emphasizing methods like time management tools or agile methodologies. Explain how you assess project urgency and importance, ensuring that critical deadlines are met while also balancing multiple projects effectively. Mention any specific tools or techniques you find helpful in organizing your workflow.

In your answer, articulate what data modeling is and why it's vital for structuring databases and defining data relationships. Discuss specific techniques you've used in previous roles, how you approach schema design, and the importance of aligning data models with business requirements. This showcases your technical knowledge and its relevance to the Senior Data Engineer role.

Emphasize your commitment to data quality and integrity by discussing the practices you adopt, such as implementing validation rules, conducting regular audits, and using data profiling techniques. Provide examples of how you have detected and resolved data quality issues in the past, demonstrating your proactive approach to maintaining reliable data systems.

When answering this question, highlight resources you use for continuous learning, such as online courses, webinars, industry publications, or professional communities. Discuss how staying informed about the latest trends helps you implement best practices in your work as a Senior Data Engineer, showcasing your enthusiasm for professional development.

In your response, connect your skills and experience to the values and goals of Great American Insurance Group. Discuss what excites you about working in the insurance industry and how you align with the company's commitment to innovation, diversity, and inclusivity. This demonstrates your genuine interest and enthusiasm for the potential role.