Senior Data Engineer

As a Senior Data Engineer at phData, your main tasks will include developing end-to-end technical solutions for our clients, ensuring security, performance, and scalability. You will work closely with various cloud data platforms like Snowflake and AWS, creating efficient data integration solutions while optimizing SQL queries. Your role also involves producing detailed technical documentation, delivering engaging presentations, and collaborating with fellow engineers to solve complex data challenges.

Candidates for the Senior Data Engineer position at phData are expected to have at least 4 years of relevant experience in roles such as Software Engineer, Data Engineer, or Data Analyst. You should possess strong programming skills in languages such as Java, Python, or Scala, along with a solid understanding of cloud data platforms such as Snowflake, AWS, Azure, and GCP. Proficiency in SQL and client-facing communication skills are also essential.

To succeed as a Senior Data Engineer at phData, you should be proficient in programming languages, particularly Java, Python, and/or Scala. These skills will enable you to develop robust data solutions and collaborate effectively with your teammates while navigating complex data environments across various cloud platforms.

At phData, we prioritize the growth of our employees by offering accelerated learning opportunities and professional development through advanced training and certifications. As a Senior Data Engineer, you'll have access to numerous resources that help you to enhance your skills and stay updated with industry trends, ensuring both personal and career advancement.

You can expect a casual and inclusive team culture at phData that values transparency, creativity, and collaboration. We celebrate the diverse backgrounds and perspectives of our employees, fostering an environment where everyone feels a sense of belonging and is encouraged to contribute their unique insights.

When answering this question, highlight specific projects where you utilized these platforms. Discuss any particular challenges you faced and how you overcame them, focusing on your role in implementing solutions that improved data handling and processing efficiency.

Share your strategies for optimizing SQL queries, such as using indexing, avoiding unnecessary data retrieval, and analyzing query plans. Mention any tools you use for monitoring performance and how you troubleshoot slow queries in a comprehensive way, showcasing your technical expertise.

Discuss your understanding of security best practices, such as data encryption, access controls, and monitoring. Provide examples of how you've implemented these practices in previous roles to secure sensitive data and ensure compliance with regulations.

Talk about your hands-on experience with any relevant technologies. Describe specific use cases where you utilized these tools for data integration, detailing the challenges and the outcomes of your efforts, which will demonstrate both your proficiency and problem-solving skills.

Explain your process for documenting solutions, such as creating sequence diagrams and logical system views. Highlight the importance of clear communication in your documentation, which helps your team understand complex concepts easily, fostering collaboration and efficiency.

Provide a detailed story about a specific instance where you identified, diagnosed, and solved a problem in a data pipeline. Emphasize your analytical thinking and collaboration with team members, focusing on the skills you employed to achieve a successful resolution.

Discuss the importance of effective communication, time management, and collaboration in a remote work setting. Share any successful strategies you've used to maintain productivity and connection with team members despite physical distance.

Express your understanding of data governance principles and their significance in managing data quality, security, and compliance. Mention any specific frameworks or tools you've worked with to implement best practices in data governance.

Share the resources you utilize to keep your knowledge updated, such as industry blogs, webinars, online courses, or networking with professionals. Highlight your commitment to continuous learning and how you integrate new insights into your work.

Reflect on your passion for data and technology and how it aligns with phData's mission. Mention the values of creativity and autonomy that resonate with you, and express excitement about contributing to a team that encourages innovative solutions to data challenges.