Sr Data Engineer
About The Position
Callaway Golf is the leading manufacturer of premium golf clubs, balls, performance gear and accessories worldwide. Through an unwavering commitment to innovation, we push the limits of performance and create demonstrably superior products designed to make every golfer a better golfer. Our company is a blend of experience and diverse backgrounds, and together we look to move the game forward, and we want top-notch people to join us in that mission! By joining Callaway Golf, you also join part of the portfolio of brands within Topgolf Callaway Brands, an unrivaled tech-enabled Modern Golf and active lifestyle company delivering leading golf equipment, apparel, and entertainment, with a portfolio of global brands including Topgolf, Callaway Golf, TravisMathew, Toptracer, Odyssey, OGIO, and World Golf Tour (“WGT”). “Modern Golf” is the dynamic and inclusive ecosystem that includes both on-course and off-course golf. For more information, please visit https://www.topgolfcallawaybrands.com Design, build, and maintain our data architecture using technologies like Snowflake, Azure, and Databricks. Develop and maintain ELT/ETL workflows using Python, SQL, and Spark to ensure data accuracy, completeness, and consistency. Collaborate with cross-functional teams to gather and analyze business requirements and recommend solutions. Ensure compliance with data privacy regulations and best practices. Implement and manage DevOps processes to automate the deployment and testing of data pipelines and workflows. Stay current with the latest data technologies, trends, and best practices, and recommend adoption where appropriate. Work in an Agile environment to deliver high-quality solutions on time and within budget. May work from home.
Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Mathematics, Statistics or related field plus 2 years of experience in the offered position or closely related occupation.
- 2 years of cloud platform experience.
- 2 years of experience with Snowflake or Databricks, Azure or AWS, and visualization tools.
- Must possess expertise/knowledge sufficient to adequately perform the duties of the job being offered.
- Experience creating pipelines in Snowflake or Databricks.
- Knowledge of the MarTech ecosystem or related.
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Fluency with at least one scripting language: Python, R.
- Strong knowledge of DevOps workflow, cloud-native platforms (containers, Kubernetes, serverless), version tools (Git, bitbucket), and infrastructure as code (IaC) tools (CloudFormation or Terraform).
- Experience with Data Integration tools Spark, Databricks or equivalent.
- Experience in Linux and Unix shell scripting.
Responsibilities
- Design, build, and maintain our data architecture using technologies like Snowflake, Azure, and Databricks.
- Develop and maintain ELT/ETL workflows using Python, SQL, and Spark to ensure data accuracy, completeness, and consistency.
- Collaborate with cross-functional teams to gather and analyze business requirements and recommend solutions.
- Ensure compliance with data privacy regulations and best practices.
- Implement and manage DevOps processes to automate the deployment and testing of data pipelines and workflows.
- Stay current with the latest data technologies, trends, and best practices, and recommend adoption where appropriate.
- Work in an Agile environment to deliver high-quality solutions on time and within budget.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
