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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Hands-on experience using Databricks or Apache Spark (i.e., PySpark, SparkR, or Scala) and understanding best practices.
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We are seeking expert System Software Engineers to join our Apache Spark Acceleration team. 5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Previous experience as a software engineer, applied mathematician, or in roles involving DevOps, MLOps, Databricks, and Apache Spark is highly regarded. - Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Grow a world-class team of software engineers working on Databricks Runtime Engine and Apache Spark; increase headcount by 5+ engineers in the next 18 months, with continued growth beyond that according to product objectives; hire top-notch staff+ level talent and engineer managers.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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Tops 3 Skills Needed 1 Data Engineering 5+ years 2 Data Bricks 5+ years 3 Py Spark 5+ years Years of Experience: 12+ years Technology requirements: Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming.
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks. Develop and optimize Spark jobs for data processing, analysis, and machine learning tasks.
$95,900 - $129,400 a yearExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Familiarity with streaming data processing, real-time analytics, and machine learning pipelines. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBase.
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Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Apache Spark and Scala.
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We're looking for an enthusiastic and experienced Machine Learning Engineer to help us use AI to build impactful developer productivity tools for engineers across Block. Spark, Prefect, Databricks, Snowflake.
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Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. , Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.
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machine learning apache spark jobs Title: software developer
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