Associate Data Engineer

As an Associate Data Engineer at Connected Kerb, your primary responsibilities will include developing and implementing data pipelines using ETL processes, optimizing our data lake, and collaborating closely with the insights team to provide analytics that align with our business objectives. You'll also document processes and ensure data governance while leveraging Microsoft technologies like MS Fabric and Databricks.

To qualify for the Associate Data Engineer role at Connected Kerb, applicants should have a BSc in Computer Science or a related field, along with at least four years of relevant experience. Key skills include proficiency in SQL and NoSQL databases, statistical analysis, data modeling, ETL processes, and programming experience in Python and PySpark.

The Associate Data Engineer position at Connected Kerb is integral to our mission of delivering effective and user-friendly EV charging solutions. By optimizing data pipelines and ensuring quality data analysis, you will provide insights that inform our strategies and innovations, driving the success of our sustainable mobility initiatives.

In addition to the required skills, having experience with MLOps, Power BI, and geo-data is highly preferred for the Associate Data Engineer role at Connected Kerb. An analytical mindset and the ability to communicate complex technical concepts to non-technical stakeholders will also serve you well in this position.

The work environment at Connected Kerb is highly collaborative and fast-paced, with a strong emphasis on innovation and adaptability. As an Associate Data Engineer, you'll be part of a supportive team that encourages professional development and values data-driven problem-solving, all while offering flexible and hybrid work arrangements.

In answering this question, focus on specific projects where you've developed ETL pipelines. Describe the technologies you used, the challenges you faced, and how your solutions improved data quality or accelerated processes.

Discuss specific strategies you employ to maintain data quality, such as validation checks, auditing processes, and regular monitoring. Highlight your attention to detail and how your prior experience has prepared you for this responsibility.

Provide examples of programming languages you are skilled in, like Python or PySpark. Describe situations where you've used these languages for data modeling or analytical tasks, emphasizing your problem-solving skills.

Think of a specific problem that required critical thinking and analytical skills. Clearly outline the steps you took to diagnose the issue, the solutions you considered, and the final outcome, underlining your analytical mindset.

Your response should reflect a proactive approach towards continuous learning. Mention resources like online courses, webinars, blogs, or communities you engage with to stay informed about the trends impacting data engineering.

Detail any hands-on experience you have with Microsoft Azure, particularly its data capabilities. Discuss how you've utilized these services in past roles to complement your data engineering strategies.

You might describe how you create clear, concise documentation that outlines each step in the data process. Highlight the importance of documentation in ensuring repeatability and ease of understanding for both technical and non-technical audiences.

Illustrate your collaborative skills by discussing strategies such as regular meetings, shared documentation tools, and open communication channels that you've used to foster teamwork and ensure that everyone is aligned.

Discuss your experience with visualization tools like Power BI and the significance of tailoring your presentation to different audiences. Emphasize how you transform complex data into impactful visuals that aid decision-making.

Advise on taking a user-centric approach by first gathering feedback to understand their concerns. Discuss strategies to iterate on the solution based on this feedback while keeping the user engaged in the process to ensure their needs are met.