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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Write spark jobs efficiently with algorithms used for big data processing.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. Expert in applying SCD types on S3 data lake using Databricks/Delta Lake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Big Data implementation using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. You should possess strong technical skills in SQL, Python, Spark, and PySpark and have hands-on experience with AWS and Databricks platforms.
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Hands-on experiences with core cloud services (storage, networking, firewalls, DNS, databases, applications, data analytics, compute, container services) in GCP. Hands-on experience in using DevOps tool set Git, Artifactory, Jenkins, Sonar, Fortify, Spinnaker etc.
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Encompassing BNY Mellon's investment management firms, wealth management organization and global distribution teams, we draw on deep expertise to collaborate with clients and tailor our best ideas and resources to meet their specific needs.
$108,700 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Please note that despite the seniority, this is still a hands on role running core trade support, corporate actions, product control & treasury operations tasks. The firm operate in a high-volume environment, dedicated to continuous process improvement - team members use & develop advanced technical skills in SQL, Python & VBA on a daily basis, as will the new trade support manager hire.
$300,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience developing data models in Snowflake that are used for scalable Tableau dashboards and include user entitlements a big plus. Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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As a trust officer, you will work directly with high net worth clients to manage assets placed in trust, administer estate plans, and provide personalized advice around wealth transfer plans. As a trust officer with our firm, you will have the opportunity to work directly with affluent clients to preserve and continue their wealth transfer legacy plans.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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15 years of experience in the investment management industry specifically related to Mutual funds and/or Hedge Funds, Big 4 Public Accounting firm and/or relevant industry experience is preferred.
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We are looking for a Murex Analyst with a specialized focus on data quality and risk model validation. Utilize hands-on experience in stress testing, Value at Risk (VaR), Fundamental Review of the Trading Book (FRTB), time series analysis, and financial instrument valuation.
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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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hands on big data wealth jobs in New York, Norwood, Massachusetts
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