Senior Data Engineer

Help empower our global customers to connect to culture through their passions. As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business.

Requirements

• 3 to 5 years’ experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#)
• Minimum 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years’ experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala – Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor’s degree in Computer Science, or a related technical field

Benefits

• Medical, dental, equity and discretionary bonuses
• 401k Matching

Tagged as: Python, SQL