Data Engineer Role in Databricks
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Summary
Data engineer at Fluent, Inc. building and maintaining Databricks data pipelines for audience segments using SQL, Python, and Spark. Day to day includes orchestrating Databricks jobs, exploring real-time processing, ensuring data observability, and collaborating with Data Science and commercial teams.
Elevate your data engineering skills with Fluent, Inc. as a Data Engineer specializing in Databricks. Engage in building pipelines, utilizing AI development tools, and optimizing data delivery.
As a member of Fluent's innovative team, you will focus on data engineering tasks including orchestrating jobs in Databricks. Your expertise in tools like SQL, Python, and Spark will help maintain high-quality code while supporting audience segmentation using cutting-edge methodologies. Collaborate closely with Data Science and commercial teams to translate business needs into actionable requirements.
Key Responsibilities: • Develop and maintain data pipelines for audience segments • Utilize Databricks features for efficient data engineering • Investigate real-time processing capabilities of Databricks • Share knowledge through tech talks and team training • Maintain a high-quality codebase with data observability
Requirements: • Bachelor's or Master's degree in Computer Science • 4+ years of experience in Data Engineering • 2+ years with Databricks environment • Proficient in SQL, Python, Spark, and distribution • Experience with AI coding assistants
Accelerate your data engineering career by joining Fluent's dynamic team and exploring the latest in Databricks technology.
As a member of Fluent's innovative team, you will focus on data engineering tasks including orchestrating jobs in Databricks. Your expertise in tools like SQL, Python, and Spark will help maintain high-quality code while supporting audience segmentation using cutting-edge methodologies. Collaborate closely with Data Science and commercial teams to translate business needs into actionable requirements.
Key Responsibilities: • Develop and maintain data pipelines for audience segments • Utilize Databricks features for efficient data engineering • Investigate real-time processing capabilities of Databricks • Share knowledge through tech talks and team training • Maintain a high-quality codebase with data observability
Requirements: • Bachelor's or Master's degree in Computer Science • 4+ years of experience in Data Engineering • 2+ years with Databricks environment • Proficient in SQL, Python, Spark, and distribution • Experience with AI coding assistants
Accelerate your data engineering career by joining Fluent's dynamic team and exploring the latest in Databricks technology.