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Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). JOB DESCRIPTION: Business Data Analyst Location: Hybrid - Rosemont, ILOverview: Supports and contributes to business analytics projects and processes to provide data-driven insights related to business performance used to advise and develop strategies for operational improvements and future business initiatives.
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Reporting to the Director, Research Data and Open Scholarship (RDOS), the Research Data Librarian helps support Cornell University researchers throughout the research data lifecycle to meet their planning, management, analysis, sharing and archival needs.
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Utilize data integration tools like advanced SQL, Excel, Access, Powershell, Boomi, XML, Python, JavaScript, API manipulation to integrate, convert and enrich file based data flows from external systems.
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Extensive hands on experience with development of ETL (CDC, SCD) and data integration process using Azure Data Factory, Databricks, Python and Spark. Develop ETL and data integration processes, using a variety of technologies, including Azure Data Factory, Databricks, SQL, Python and Java.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Design, develop, document, and maintain intricate data pipelines using AWS services (e.g., EMR, Step Function, SNS, Event Scheduler) and Azure services (e.g., Logic App, ADF, ADLS gen 2, Azure Databricks, Azure Synapse workspace.
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At LTIMindtree, we work on modernizing the on-premises legacy data warehouses to cloud-based data warehouse solutions like AWS RedShift, Azure Synapse, Google BigQuery, and Snowflake. We have dedicated Center of Excellences (CoEs) on key technology platforms including Business Objects, IBM, Oracle, Microsoft BI, Informatica, MicroStrategy, SAS, MDM, Big Data and Opensource.
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The EDI Manager will excel at identifying system needs, writing functional specifications, driving developmental priorities, and testing solutions in the electronic data exchange space. Ensure data flow among 3PL, customers and EDI vendors is accurate and timely and services the needs of each stakeholder.
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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity’s high transactional Provider Data Management platform.
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Data science, machine learning, optimization models, PhD 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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Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering) Senior Architect – Data Engineering - Snowflake and Databricks page is loaded. Senior Architect – Data Engineering - Snowflake and Databricks.
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The successful candidate will teach introductory and upper-level courses in Data Science such as Data Curation, Data Modeling, Data Management, Data Mining, Big Data, Data Analysis, Machine Learning, Data Visualization, Computational Thinking for Problem Solving, Information and Data Security and Privacy, Information and Data Quality, Information Retrieval, and Data Science courses in the candidate's area of expertise.
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Chick-fil-A Product Lead, Demand Planning Atlanta , Georgia Apply Now The Lead Demand Planner, Limited Time Offers will be the product owner for LTO forecasting, owning the LTO forecast and developing it in collaboration with key partners, such as the LTO Inventory Lead, Supply Chain Data & Analytics, Launch Teams, and other LTO-related workstreams.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus. Set up best practice standards for data engineering in alignment with Bank’s defined Enterprise and data architecture.
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Ability to critically analyze data using statistical tools. Generate, manage, evaluate, and maintain critical data in an organized manner. Job Advertisement: Scientist II, Upstream Process Development Location: Our client, a leading biotechnology company in Gaithersburg, MD, is seeking a dedicated Scientist to join their Upstream Process Development Department.
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