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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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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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Fluid understanding of and working ability with data management software, geographic information systems (GIS) (e.g., CARTO or ArcGIS / ESRI), and relational database systems (SQL, Oracle Business Intelligence) or other data management, reporting and query tools.
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Data Engineer (Full Time) 6+ years of experience in data engineering working with big data systems that can process and transform data at scale.
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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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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Big data expertise in Apache Spark ETL, Snowflake. Hands-on Experience with data visualization tools such as Tableau, Qlikview, Quicksight, etc. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
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A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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The Global Payments Solutions Data & AI Strategy and Management team (DSM) is looking for a Data Steward Executive (DSE) for the Global Transactions Services, part of the GPS team which is a ~$15bn business.
$254,700 a yearFull-timeExpandApply NowActive JobUpdated Today - 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. Summary:The Enterprise Data Management (EDM) organization is comprised of multiple teams that are responsible for developing, executing, and delivering data products across a new cloud platform at Neuberger Berman.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. Lead within a cross-functional team of engineers to build software for a large-scale data processing ecosystem supporting real-time and batch data that underpins all analytic and operational data flows.
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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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1-3 years of full-time post-graduation experience in the music, entertainment, sports, or financial services industry. Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank.
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The Big Data Cloud Solution Architect will be responsible for guiding the full lifecycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and Test and Deployment in Cloud Infrastructures.
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big data full time management jobs Title: senior data engineer in New York, NY
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