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End to end data and analytics solutions design experience using cloud technologies- AWS S3, Spark, EMR, Data bricks, MPP databases, Redshift/Snowflake right from Ingestion to Transformation to Consumption using various methods including API delivery Minimum Qualifications: Graduation/Bachelor’s.
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Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
$99,000 - $148,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure.
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Strong coding experience in Python, in a data science context and a good grounding in SQL. Any Databricks, MLFlow and Spark experience would be advantageous. The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
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Familiarity with additional transformation platforms like Apache Spark and Beam. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense.
$126,000 - $170,500ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Familiarity with healthcare data standards, EHR systems, and medical terminologies (e.g., HL7, ICD-10, SNOMED CT) is a plus. We are looking to hire a staff machine learning engineer to join our RVO Health data science team.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develops and maintain data pipelines, leveraging Apache Spark , AWS Glue and other data processing frameworks to support efficient data ingestion , transformation and storage.
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The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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Knowledge of modern cloud data technologies and architectures: Spark, Python, Power BI, Azure, DataBricks. By leveraging assigned data governance professionals, formulate and advance Data Strategy to enhance scope and quality of data across Group Segment.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark. Work closely with account teams, solution architects, and engagement managers to drive technical sales cycles and translate complex Snowflake powered Data Cloud and GenAI/ML solutions into business impact.
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Our tech stack includes (but is not limited to) languages and technologies like Golang, Python, SQL, shell scripts, AWS EC2, Athena, Aurora / PostgreSQL, Kafka / MSK, Kubernetes, SQLite, Airflow, Spark, and more.
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5+ years of hands-on experience in building and maintaining large-scale ETL pipelines and in-depth knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
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spark job Title: data scientist Company: Brainstation in Atlanta, GA
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