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Senior Manager, Data Engineering (Spark, Scala, SQL) At least 2 years of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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We are looking for a candidate that has a proven track record in selling Data & AI Services, ideally in another large consulting firm or systems integrator. Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholdersFamiliarity with latest trends in data engineering and data management (APIs, data virtualization, stream data integration, augmented data integration.
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The position will involve computer modeling for vibration and acoustics analyses, which could include finite element analysis (FEA) of structural systems, building acoustics modeling and ray tracing, and/or environmental noise modeling.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Vice President of Information Security (VP of Infosec) will be responsible for leading Atmosera's information security strategy, ensuring the protection of our clients' data and systems, and maintaining regulatory compliance across all aspects of our business operations.
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Expertise in data integration, ETL tools, and data engineering programming/scripting languages (Python, Scala, SQL) for data preparation and analysis. The Principal Data Engineer role will work closely with cross-functional product teams and be responsible for designing, developing, and deploying state-of-the-art data engineering techniques and streamlined data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets (structured and unstructured data.
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Experience:Minimum of 3+ years in Analytics/Business Intelligence, leading projects, and building data solutions in a cloud environment. Here you will bridge the gap between business needs and technical solutions, driving impactful decisions with data models, tables, and dashboards.
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The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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You’ll report directly to Stephen Liu, Co-Founder and COO of Methodology, and work in parallel alongside both our Chief Business Operations Officer and our Menu Design Admin Team, who oversees all menu data input, culinary scheduling, cook sheet production and organization, and purchasing.
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Richard Group has been the prime contractor on over 180 projects valued at over $600MM. Trusted by clients like the U.S. Department of Defense, Richard Groups past work includes critical patient care facilities, civil roadway and utility projects, mission-critical data centers, electronic healthcare upgrades, government rehabilitation projects, and more.
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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC's, generators, switchgear, UPS systems, STS', ATS' PDU's, chilled water systems, CRAC/CRAH's, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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A contributor in developing scalable and resilient hybrid and Cloud-based data solutions supporting critical financial market clearing and risk activities; collaborate with other developers, architects and product owners to support enterprise transformation into a data-driven organization.
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big data engineering business systems jobs Company: Amazon Web Services Aws in Chicago, IL
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