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Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL) Demonstrable experience working with AI/ML researchers, setting up AI/ML data pipelines using standard frameworks like Spark, Kubernetes etc., on public cloud environments.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
$91,249.6 - $120,910.4 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key Responsibilities: The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Big Fish Restaurant Group now consists of Big Fish Grill Rehoboth, Big Fish Seafood Market, Big Fish Grill Ocean View, Big Fish Market/Rosenfeld's South Bethany, Big Fish Grill on the Riverfront, Summer House, Salt Air, Obie's By the Sea, Sazio, Stingray, Crab House, Striper Bites, Taco Grande, Trolley Square Oyster House, Washington Street Ale House, Mikimotos, Torbert Street Social, Rosenfeld's Wilmington, Riverfront Events, and Nick's Fish House.
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Specifically, this experience must be in writing Big Data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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Deep understanding of Apache Spark, Delta Lake, and related big data technologies, and proficiency in modern programming languages such as Python and Scala. Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks.
$95,900 - $129,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Apache Spark is a plus. Proven experience as a data engineer with a focus on data processing and integration. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a skilled and experienced Data Engineer to join our team.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Senior Data Engineer. Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our client is looking for a Cloud Data Engineer with a deep understanding of GCP cloud infrastructure, automation principles, and a security-first mindset. -Utilize BigQuery for data warehousing and analysis, and Pub/Sub for real-time messaging.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Join our team as a Machine Learning Engineer, where you will play a pivotal role in leveraging data-driven solutions to drive innovation and business impact. Reporting to the Director of Data Science, you will collaborate with cross-functional teams to develop and deploy machine learning models that solve complex problems and drive actionable insights.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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Support Data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc. Skills: Google BigQuery, DataProc, Data fusion, Apache Airflow, Google Cloud Platform, Python, SQL, CI/CD pipelines.
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We are seeking a highly skilled AWS Data Engineer with expertise in building Data pipelines and processing solutions on the AWS platform, focusing on Databricks, Delta Lake, and Python development.
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big data jobs Title: machine learning engineer Company: Home Depot
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