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Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Enabling data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions.
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Design, Develop and support data ingestion, analytics applications, APIs with components in Java, Python, Apache Spark and related Big Data technologies. Experience with Zookeeper, Big Data Hadoop Platforms, SQL on Hadoop Technologies such as Spark SQL, Apache Drill, Presto, Impala desired.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Title: Big Data/Machine Learning Engineer. 3-5 years of experience as a Software Engineer, with a focus on Big Data and Machine Learning. Stay updated with the latest trends and advancements in Big Data, Machine Learning, and cloud technologies, incorporating them into the PurpleRain platform as needed.
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Providing data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions. As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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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 Algo team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Strong proficiency in SQL and associated big-data tools such as dbt. 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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As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Big data tools like Spark, Kafka, Snowflake, Databricks, etc. Develop and implement data analytics models. Data visualization tool like Looker, Tableau, etc. Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc.
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Partner with stakeholders across Noom to implement and scale a data science system that can accurately measure and predict the cost of the services we provide our community of users. We apply the same principles inside Noom. Across our dynamic organization, we empower our teams to execute on big ideas and we start and end each day with responsibility to make the world a healthier place.
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Implementing and architecting Data lake using a big data processing engine - Apache Spark by leveraging data lake cloud platforms to unify incremental in-flow of data into existing data on an ongoing basis.
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Experience using big data technologies including Apache Spark, Hadoop, Hive a plus. Our client is seeking an experienced developer to work within the Commodities Core Market Data team to build out next generation cloud native data platforms that will underpin first-class analytics, trading tools and research.
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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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big data jobs Title: analytics Company: Rsm Us in New York, WA, Ohio
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