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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
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O Coordinating with the Senior Audit Director and overall team to identify use cases and develop plans for data analytics, data science and continuous auditing by examining the audit plan and collaborating with assigned audit team(s) and CAS Data Analytics.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Engineering, Computer Science, or related field and 5 years of progressively responsible, post-baccalaureate experience as a Data Analytics Manager, Data Engineering Manager, Software Developer, or related position involving Big Data analysis in Retail and Commercial Banking domain in Hadoop ecosystem.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Senior Consultant in our AI & Data team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Big Data Technologies: Familiarity with big data tools like Amazon EMR, Athena, and Glue for processing large datasets. As a Senior AWS Cloud Data Solutions Architect within PNC's Enterprise Data Management Technology organization, you will be based within one of PNC's Technology and Innovation hub office locations (Pittsburgh, PA, Cleveland, OH, Dallas, TX, Birmingham, AL or Phoenix, AZ.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Proficient in big data technologies such as Hadoop ecosystem (HDFS, Hive, HBase), Apache Kafka, and Apache Flink. Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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IntroductionAs a Senior Data Scientist, you will be a Technical Lead on data science projects and work with key business stakeholders to identify problems and deliver insights that influence how we make decisions that have impact at scale.
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big data jobs Title: senior developer in Dallas, TX
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