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I worked extensively on POCs, Consulting Solutions, ETL Framework Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc. As a Data Scientist AI/ML Engineer within Asset and Wealth Management, you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated LLM platform.
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Extensive experience in using Talend features such as Data processing optimization, implementation of Big Data solutions using Talend-Bigdata Implementation of parallelization using Talend, extracting data from multiple parallel databases like Hive, MySQL, Oracle etc.
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 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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Under the direction of the Executive Vice President for Real Estate Development, the Data Analyst will play an important role in executing NYCHA’s ongoing efforts to recapitalize and rehabilitate its stock of public housing apartments.
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Harness the potential of big data technologies like Apache Presto, Apache Pinot, Flink, and Airflow. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes.
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O Conceptual / working understanding of modern master data management, big data platforms, data streaming, analytics and reporting solutions (e.g., AWS Elastic Map Reduce (EMR.
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Experience leveraging cloud-based data platforms such as Snowflake, Databricks, and ELT tools such as FiveTran and dbt. As the CDO, you will have overarching responsibility for defining and developing the firm's data management framework, encompassing data architecture, data governance, and data quality standards.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A global bank is seeking a VP level Azure Data Engineer with expertise in Databricks architecture to join their risk technology team. Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Data warehouse environment.
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The Release Train Engineer will lead Agile/JIRA adoption for a portfolio of tests focused on data testing (testing that evaluates enterprise data across the Bank’s data lifecycle, including capture, transport, and use, and provides critical insights into data accuracy, completeness and fitness for purpose, as well as the data health of bank data domains and in-scope processes and controls.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
$100,940 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Data Engineer (Full Time) Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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big data jobs Title: engineer Company: Optello in Weehawken, NJ
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