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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Building streaming data pipelines using Kafka, Spark, or Flink.
$96 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with various cloud technologies, including AWS, Azure, GCP, Snowflake, Spark, and their associated tools. Experience with market data vendors - Bloomberg, Markit, ICE/Client, S&P, Moodys, Fitch, Russell, Intex, JPM, Factset, State Street, CRD, and Yieldbook.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with Databricks and optimizing Spark clusters. Extensive experience with (py)Spark, Python, JSON, and SQL. The Senior Data Software Engineer, Tech Lead position in the Data Strategy team presents a chance to create and execute data products for the world's biggest and most reputable reinsurance brokerage.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Substantial experience working with AI tools like big data (Hadoop, Apache Spark), data science, and advanced analytics tools like SAS. Strong technical background with extensive experience with applied mathematics, machine learning (ML) and deep learning (DL) frameworks such as TensorFlow or PyTorch, ML techniques like random forest, neural networks, and natural language processing (NLP.
$117,875 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Apache Spark, Apache Kafka, Scala/Java, NoSQL Databases, Elasticsearch & Kibana, Kubernetes, Docker Containers. 3 or more years experience with Apache Spark for Streaming and batch process.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Formal training or certification on software engineering concepts and 5+ years applied experience in ETL/Data pipeline and data lake platforms like Databrick, Spark/Hadoop, and Snowflake. Experience with data cataloging tools and systems (e.g., Collibra, Alation, Informatica, Atlan, Databricks Unity Catalog.
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Database development experience using Hadoop, SPARK or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies a plus. Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Implement Data Lineage for application implemented Streaming Architecture, Batch platforms implemented complex technologies such as Kafka, Spark, Nifi and Elastic Search. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc. Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies and frameworks (e.g., Apache Spark, Hadoop) Proficiency in front-end technologies like HTML, CSS, JavaScript, and modern frameworks (React, Angular, Vue.js.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with, Spark, Arrow, Kafka, Beam, and Flink. The Nominal team comes from commercial companies like SpaceX, Palantir, Anduril, Lockheed Martin, and NASA and is active amongst customers in aerospace, defense, industrial, and advanced energy applications (autonomous aviation, eVTOL/VTOL, flight testing, satellite development, etc.
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Strong programming skills in Python, R, SQL, and experience with data processing frameworks (e.g., Spark, Hadoop). Strong programming skills in Python, R, SQL, and experience with data processing frameworks (e.g., Spark, Hadoop.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Expertise in Spark and data pipeline orchestration tools like Airflow and dbt. Data Processing: Leverage Spark and other big data technologies to process and analyze large datasets.
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They will utilize technologies to include SAP (data source), SAP Data mapping, SAP transaction tables, Python, PySpark, Azure, SQL, Spark, SQL Server, Azure Data Factory, Databricks/Azure Databricks, Azure DevOps, Data build Tool, Git, and Power BI.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Strong experience with Apache Spark and its components (Spark SQL, Streaming, MLlib, GraphX) using PySpark.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
spark job in New York, NY
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