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Expert-level professional hands-on experience with data warehousing/RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
$248,600 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of Hands On Experience in Java or Python At least 4 years of experience Sailpoint IdentityIQ At least 4 years of experience troubleshooting IGA Rules, workflows and customizations At least 4 years of experience in any Databases in writing SQL Queries to extract data.
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Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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Primary Responsibilities: Client is searching for a hands-on business-focused technology manager to lead Client Master MDM solution that covers institutional and wealth management channels and manages data about organizations and associated contacts.
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Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex.
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5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
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Bachelor’s/Master’s degree in Computer Science, Data Science, management information system (MIS), Information Management, or equivalent, Extensive experience, including technical hands-on experience working with AML Transaction Monitoring systems like Mantas, Actimize, Prime, etc.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong data analysis and data testing skills and ability to write complex Structured Query Language (SQL) queries coupled with hands-on experience with MS Office Suite (MS Word, Excel (V-lookup, Pivot etc.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Databricks for big data processing and HVR (Fivetran) for data integration. Familiarity with data engineering best practices and tools such as Airflow for workflow management.
ExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
$276,100 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Extensive experience in Financial Crimes space with expertise in AML Transaction Monitoring and Advisory, with a deep understanding of transaction monitoring data for various lines of businesses, AML red flags, and AML typologies, Proficient in Financial Crime Compliance covering multiple product lines, such as Correspondent Banking, Private Banking, Wealth Management, Brokerage, Trade, and Asset Management.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands on experience and certifications in Azure or AWS (Architect, Big Data, AI/ML). JP Morgan Asset Management is expanding Large Language Model (LLM) use cases across Asset Management business areas.
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Great hands-on experience with Azure Databricks platform. Optimize Databricks jobs for performance and scalability to handle big data workloads. Design, develop, and deploy Databricks jobs to process and analyze large volumes of data.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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hands on big data management jobs in Little Ferry, NJ
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