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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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Work with huge data sets and work with other Data Engineers and/or Scientists on analyzing this data using algorithms and machine learning. Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer.
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Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud. As the Technical Lead Data Engineer, your primary responsibility will be to spearhead the design, development, and implementation of data solutions aimed at empowering our organization to derive actionable insights from intricate datasets.
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This role requires a strong understanding of data visualization, SQL databases, and construction project management software. Data Integration: Connect and integrate data from Viewpoint Vista (SQL cloud database) and Autodesk Assemble (construction cloud software) into Power BI dashboards.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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A Certified Registered Nurse Anesthetist (CRNA) in an advanced practice registered nurse (APRN) who practices both autonomously and in collaboration with a variety of health providers on the interprofessional team to deliver high-quality, holistic, evidence-based anesthesia and pain care services.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Hands-on experience with data visualization tools (e.g. Power BI) to create meaningful reports and dashboards as needed. Proven experience (5+ years) as a Data Analyst, Data Engineer, or similar data focused role within the financial industry, with a strong focus on BSA/AML compliance and regulatory matters.
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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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Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc.
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Hands-on experience with Azure Data Factory (ADF) for orchestrating and automating data integration processes. Knowledge of data visualization tools and techniques for creating insightful dashboards and reports (e.g., Power BI, Tableau.
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Experience administrating Power BI and SQL Server Reporting Services (SSRS), or other data visualization platforms like Tableau or Qlik. As a Data Platform Engineer III, your primary objective is to build, maintain, and monitor both highly available and scalable data platforms that support the flow of data from business critical source systems to analytical reporting layers enabling Data Engineers, Data Scientists, Analysts, and Self-Service teams throughout the organization.
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Hands on 7-12 years of prior development/Analysis hands on experience of capabilities and direction of technology - Big data Management, MDM solutions, relational / columnar / time series databases, BI Platforms, Analytics, ETL and Reporting.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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hands on data visualization jobs Title: senior data engineer in Charlotte, NC
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