The company is looking to enhance its data engineering capabilities to support external-facing analytics products and customer data solutions.
Requirements
- Deep expertise in SQL and a programming language such as Python or Scala.
- Strong experience with cloud data platforms (e.g., AWS, Azure, or GCP).
- Hands-on experience with Databricks, Apache Spark, and dbt.
- Familiarity with BI tools such as Power BI or similar platforms.
- Experience building and maintaining customer-facing data solutions or data products.
- Strong architectural thinking and the ability to design scalable, maintainable systems.
- Working knowledge of table indexing, storage methodologies, CTEs, table variables, temporary tables, window functions data segmentation and query optimization.
Responsibilities
- Architect, build, and maintain scalable data pipelines and infrastructure to support external-facing analytics products.
- Lead the development of customer data products, ensuring performance, reliability, and usability.
- Collaborate with product managers, data scientists, and customer success teams to translate business needs into technical solutions.
- Drive data quality, governance, and best practices across the data engineering lifecycle.
- Mentor junior and mid-level engineers, providing technical guidance and code reviews.
- Evaluate and implement new tools and technologies to improve data workflows and platform capabilities.
- Contribute to the strategic roadmap for data engineering and customer data products.
Other
- 5+ years of experience in data engineering or a related field.
- Excellent communication skills and a collaborative, leadership-oriented mindset.
- A go-getter with an entrepreneurial mindset.
- Someone who understands that business is people centric.
- Focused on making a difference for our customers.
- University Degree or equivalent experience and minimum 5 years of prior relevant experience (preferred).
