Lead Engineer (Data Engineer)

As a Lead Engineer (Data Engineer) at Velotio Technologies, your main responsibilities include designing, developing, and maintaining data pipelines that process data from various sources into our data warehouse. You will also collaborate with business stakeholders to understand their data needs, implement monitoring to ensure data integrity, and optimize data flows for efficiency.

To qualify for the Lead Engineer (Data Engineer) position at Velotio Technologies, candidates should possess a Bachelor’s or Master’s degree in Computer Science or a related field along with 7+ years of experience in data engineering. Strong proficiency in SQL and at least one programming language (like Python or Java) is essential, alongside experience with data pipeline tools and cloud-based solutions such as Snowflake.

A Lead Engineer (Data Engineer) at Velotio Technologies should be proficient in SQL and a programming language such as Python or Java. Familiarity with data pipeline architecture, data warehousing, ETL processes, and cloud computing technologies like AWS Kinesis, SNS, and SQS is highly beneficial for this role.

At Velotio Technologies, we foster an autonomous and empowered work culture that encourages our Lead Engineers (Data Engineers) to take ownership of their projects. Our flat hierarchy means fast decision-making, and we provide opportunities for continuous learning and development, allowing you to grow quickly within the company.

The culture at Velotio Technologies is vibrant and positive, promoting an inclusive environment where everyone feels valued. We celebrate success regularly and encourage a fun workspace. Our focus on diversity and inclusion ensures that as a Lead Engineer (Data Engineer), you will work in an authentic environment that respects all backgrounds.

In answering this question, highlight your technical background and describe specific projects where you've designed or implemented data pipelines. Discuss the tools you used, the challenges you faced, and how you optimized performance to manage large datasets efficiently.

Discuss your approach to implementing data quality checks and monitoring mechanisms. Provide examples of how you've successfully identified and resolved data integrity issues throughout the data lifecycle.

Emphasize the importance of clear communication and understanding of business goals. Describe how you gather requirements, involve stakeholders in discussions, and align technical solutions with their expectations for data usage.

Share your experience with cloud services like Snowflake and any relevant AWS tools. Discuss how you've utilized these platforms to enhance data storage, accessibility, and performance.

Narrate a specific challenge you encountered, the steps you took to troubleshoot the issue, and how your intervention led to an efficient and sustainable solution, showcasing your problem-solving skills.

Mention the programming languages you're most comfortable with, such as Python or Java, and provide examples of how you've applied them in building data pipelines or manipulating datasets to achieve specific goals in previous roles.

Discuss various optimization strategies you've implemented, such as reducing redundancy, improving query performance, or utilizing scalable solutions, and back it up with metrics or results that demonstrate the effectiveness of your strategies.

Share your methods for staying informed, such as attending industry conferences, participating in online forums, and leveraging resources like technical blogs and webinars to ensure you're aware of the latest advancements and best practices in data engineering.

Provide a detailed overview of your experience with ETL. Discuss specific tools you've utilized and the workflows you've designed, along with the outcomes and how these processes contributed to data-driven business decisions.

Articulate the qualities that you believe are essential for success in this role, such as strong technical skills, effective communication, a problem-solving mindset, and the ability to lead and mentor junior engineers, reflecting on how you've embodied these qualities in your career.