Lead Data Engineer - R01547739

As a Lead Data Engineer at Brillio, your main responsibilities will include designing, developing, and testing robust, scalable data platforms that meet the unique needs of our clients. You'll lead projects focused on building high-performance data solutions while collaborating with product engineers to create innovative data products. Your role will also involve working with large-scale real-time data processing and crafting business logic layers within data pipelines.

To qualify for the Lead Data Engineer role at Brillio, you should have a BS/MS in Computer Science or a related field, along with at least 7 years of experience in Scala or Java programming. Additionally, proficiency in big data technologies like Apache Spark or Flink, as well as experience with SQL and NoSQL databases, is essential. Strong communication skills and a solid work ethic are crucial for success in this fast-paced environment.

A successful Lead Data Engineer at Brillio will need to be proficient in MapReduce, Spark (Pyspark and Scala), SQL, and have experience with ETL processes. Familiarity with big data frameworks, real-time processing technologies, and cloud services such as AWS is also important. Knowledge of tools like DataDog, Lambda, and API Gateway can give you a competitive edge in this role.

At Brillio, the team culture is vibrant and collaborative. Lead Data Engineers will work alongside a talented group of individuals who are passionate about technology and innovation. The company values open communication, continuous learning, and teamwork, creating an environment where you can thrive and contribute effectively while enjoying camaraderie with your colleagues.

The work environment for a Lead Data Engineer at Brillio is dynamic and fast-paced, catering to individuals who thrive under pressure. The company fosters an agile development approach, allowing Data Engineers to embrace challenges while collaborating with various teams. With a strong focus on innovative projects, Brillio provides a place where you can showcase your skills and make a significant impact.

When answering this question, highlight specific big data technologies you've worked with, such as Hadoop, Spark, or Apache Flink. Discuss projects where you've successfully implemented these technologies, focusing on your role in designing and optimizing data pipelines and how you have contributed to performance improvements.

Explain your process for designing scalable data platforms, including understanding user requirements, choosing the right technology stack, and ensuring redundancy and fault tolerance. Mention how you consider future growth and scalability when architecting solutions to support millions of users.

Discuss your hands-on experience in developing data pipelines. Provide examples of the technologies and tools you've used, such as Apache Kafka or AWS Glue, and the impact your contributions had on streamlining data processing and analytics.

Share specific examples of challenges you've faced in real-time data processing and how you resolved them. Discuss technologies you've used, such as Apache Flink or Spark Streaming, and illustrate your thought process in optimizing data flow and minimizing latency.

Highlight your experience collaborating with cross-functional teams. Discuss how you gather requirements, translate technical needs into actionable plans, and ensure alignment on product development goals, emphasizing your communication skills and team-oriented approach.

Describe your approach to data modeling, including methodologies you follow, tools you use, and how you ensure optimization for performance and efficiency. Provide an example of a data model you created and how it improved data processing or analytics outcomes.

Focus on the practices you use to validate and maintain data quality, such as data validation checks, using tools for monitoring, and implementing ETL processes. Discuss how these strategies have contributed to the integrity of the data solutions you built.

Talk about the resources you utilize to stay informed, such as online courses, industry conferences, webinars, and user groups. Mention practical applications of new technologies you've learned about and how they informed your work and decision-making.

Choose a project that showcases your skills and impact on the business. Detail the project's objectives, the challenges you faced, the technologies you implemented, and how it benefited the organization or its clients.

Express your enthusiasm for Brillio’s mission of helping companies embrace digital transformation through innovative data solutions. Discuss how your skills and values align with their culture and your excitement about contributing to their projects and collaborating with talented professionals.