Data Engineering Expert at Fluent
Posted 3
views
Summary
A data engineer at Fluent builds and optimizes data pipelines in the Databricks environment for custom audience segments, using SQL, Python, and Spark for real-time processing, and leverages AI-assisted coding tools while ensuring code observability and data privacy.
Join Fluent, Inc. as a Data Engineer focusing on Databricks to streamline data processes and enhance audience targeting. Embrace a role that pairs data engineering with innovative AI tools.
In this position, you'll work on data orchestration and delivery within the Databricks environment, following Fluent’s best practices. Your background in SQL, Python, and Spark, combined with experience in AI-assisted coding, will contribute to efficient pipeline development and data handling. Partner with fellow engineers and meet business objectives with effective data segment reporting.
Key Responsibilities: • Build and optimize data pipelines for custom audience segments • Leverage Databricks features for operational workloads • Enhance real-time processing capabilities using Spark • Document best practices and tech insights • Maintain comprehensive code observability and data privacy
Requirements: • Computer Science-related degree or equivalent experience • Minimum 4 years as a Data Engineer • 2+ years in the Databricks ecosystem • Expertise in SQL and distributed data processing • Familiarity with AI coding tools
Transform data into insights and drive success at Fluent by applying modern engineering practices.
In this position, you'll work on data orchestration and delivery within the Databricks environment, following Fluent’s best practices. Your background in SQL, Python, and Spark, combined with experience in AI-assisted coding, will contribute to efficient pipeline development and data handling. Partner with fellow engineers and meet business objectives with effective data segment reporting.
Key Responsibilities: • Build and optimize data pipelines for custom audience segments • Leverage Databricks features for operational workloads • Enhance real-time processing capabilities using Spark • Document best practices and tech insights • Maintain comprehensive code observability and data privacy
Requirements: • Computer Science-related degree or equivalent experience • Minimum 4 years as a Data Engineer • 2+ years in the Databricks ecosystem • Expertise in SQL and distributed data processing • Familiarity with AI coding tools
Transform data into insights and drive success at Fluent by applying modern engineering practices.