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Client Corporation is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
$136,100 - $191,100 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Strong proficiency in SQL and associated big-data tools such as dbt. Familiarity with cloud data lake platforms such as Databricks, Snowflake, or Palantir Foundry. Guy Carpenter (GC), the global leader in reinsurance brokerages, is seeking candidates for a Forward Deployed Analytics Engineer on its Data Strategy team, based in the New York City office.
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Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka. Experience with reliability engineering specifically in areas such as data quality, data observability and incident management.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stackExperience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set upExperience applying both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Design and develop big data solutions built on the Databricks and Azure technology stacks. Expertise in Databricks (Delta Lake, Apache Spark, Unity Catalog), Snowflake, Azure (Data Factory, Blob), SQL, and Python.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$139,800 - $319,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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As a Senior Data Analyst, you will be a key member of Public’s data analytics and engineering team and will report directly to the Head of Strategic Finance. Alongside its robust suite of investing tools, Public offers Alpha, a layer of artificial intelligence that provides fundamental data and custom analysis to support informed investment decisions.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Knowledge building and optimizing 'big data' data pipelines, architectures and data sets.
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Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering.
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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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big data jobs Title: developer Company: Walt Disney in New York, NY
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