Browse Full-Stack Jobs

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5 jobs found for "Data Bricks"

Sr Lead Software Engineer- Python, Databricks

JPMorganChase Jersey City, NJ

…Responsibilities Acquire data from primary or secondary data sources Identify, analyze, and interpret trends or patterns in complex data sets Transforming existing ETL logic on AWS Platform or Data Bricks Innovate … data and infrastructure architecture disciplines 3+ years of Experience with Python 2+ years of Experience in Java Development 2+ Experience in a Big Data technologies (e.g. AWS, Spark, Kafka, Data Bricks

LinkedIn

Software Engineer III- Python, Databricks

JPMorganChase Jersey City, NJ

…Responsibilities Acquire data from primary or secondary data sources Identify, analyze, and interpret trends or patterns in complex data sets Transforming existing ETL logic on AWS Platform or Data Bricks Innovate … years of Experience in Java Development 2+ Experience in a Big Data technologies (e.g. AWS, Spark, Kafka, Data Bricks etc.) Experience in writing efficient SQL's Experience in implementing complex ETL transformations…

LinkedIn

Java Software Engineer

PTR Global Phoenix, AZ

…have: Customer Notification Applications Google Wallet/Apple Wallet Full stack, iOS and Android, Azure Git Actions, Data Bricks, PowerBI , Microservices, Kafka, Description: What you'll do • Collaborates with leaders, business analysts, project managers…

LinkedIn

Staff Fullstack Engineer

Databricks San Francisco, CA $192k – $260k

…Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with … offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits…

LinkedIn

Senior Software Developer (Python)

Sky London, England, United Kingdom

…Jenkins, or equivalent. Experience working with Git-based development workflows. Understanding of data engineering and analytical workflows, including data ingestion, transformation, storage, and reporting. Strong problem-solving skills and ability to work … Data Science, Machine Learning, or AI workloads. Experience with MLOps tooling such as MLflow, Kubeflow, Vertex AI, or similar technologies. Knowledge of workflow orchestration platforms such as Apache Airflow. Experience with data

LinkedIn
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