Data Engineering Team Lead
1 week ago
The ideal candidate will be a seasoned professional with a strong background in data engineering and leadership. The role involves designing, developing, and maintaining business intelligence solutions that provide actionable insights to drive business decisions.
- Design and implement production-grade Spark-based solutions.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Leverage multiple large datasets to drive revenues via the development of new products with the Data Strategy team, as well as the enhanced delivery of existing products.
- Construct and maintain data pipelines between internal/external sources and the data lake utilizing modern ETL frameworks.
The selected individual will have expertise in big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, and OLAP. Proficiency in cloud architecture, systems, and principles, particularly in AWS, is also required. Additionally, the candidate should be proficient in programming languages such as Python, R, Scala, or Java.
A bachelor's or master's degree in computer science, Data Science, Engineering, or a related field is necessary. Minimum 5+ years of experience in data engineering or a related data role, with a proven track record of leading projects and initiatives, is preferred. Cloud or Databricks certification is highly desirable.
This role offers a unique opportunity to work on challenging projects, collaborate with a talented team, and contribute to the growth and success of our organization. If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply.
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