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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Apache Spark, Databricks. BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience.
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Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable. Working and mutually learning from an extremely high caliber engineering team.
$123,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SedonaDB and Apache Spark are built in Java and Scala, with deeply optimized Python wrappers and SDKs, and are deployed on cloud-based Kubernetes environments. Make open-source contributions to Apache Sedona, Apache Spark, and other open-source software packages where necessary.
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Experience building a data platform, with experience in tooling and services such as Airflow, Spark, Flink, Beam, dbt, Dataflow, BigQuery, Tableau, Looker, or equivalent. Engineering Manager, Data Analyticsat Memora Health (View all jobs)Remote - U.S. Based.
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Strong background in data engineering, with hands-on experience in designing, building, and maintaining data warehouse solutions. If you're passionate about data engineering and eager to drive innovation through scalable data warehouse solutions, we want you on our team.
$150Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with big data processing frameworks such as Apache Airflow or Apache Spark. Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code.
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Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. Work closely with cross-functional teams including marketing, product, and engineering to drive data-driven decision-making and ensure alignment with business objectives.
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Preferred] Experience working with Apache Spark to process large-scale distributed databases. As a Staff/ Lead Data Scientist - Technical Curriculum Development, you'll apply your expertise in machine learning and passion for enabling others to lead the design and development of enablement content that showcases the cutting-edge and industry-disrupting machine learning features of the Databricks Data Intelligence Platform.
$200ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning, ideally with previous experience within fraud-adjacent domains.
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The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a seasoned Data Engineering Manager who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light.
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Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink, Beam) Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm) Tackle novel challenges in blockchain, data science, and threat intelligence.
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