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O Liaise between Treasury lines of business and Technology team and other Data Management analysts to communicate control status and escalate issues according to defined process. o Manage relationships with diverse data partners and technology teams to support initiative work that demand aggressive timelines.
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With the guidance and assistance of Land Acquisition leadership, prepare detailed land packages with relevant support data and exhibits for submittal to the Asset Management Committee to seek approval of real estate transactions.
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Experience with data visualization software (Tableau, Power BI, MicroStrategy, Qlik, think-cell, etc.) Experience working with enterprise data warehouse, building data pipelines, and feature engineeringExperience using statistical computer languages to manipulate data and draw insights from large data sets (required: SQL, R or Python; preferred: Spark, SAS, Julia, SPSS)Hands-on experience with machine learning models, including regression models, classification models, clustering, dimensionality reduction, time-series models, hierarchical models, etc.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Prepare instrumentation design deliverables, including instrument list, instrument data sheets, instrument installation details, 3D modeling, and instrument location plans. Job Duties: Lead both small and large controls projects from both technical and Project Management perspective.
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Areas of concentration include building power distribution systems, and lighting and low voltage auxiliary systems including fire alarm, security, data networking, and audio-visual equipment. Responsible for design and drawing preparation related to the commercial and institutional building construction industry under the guidance of professional engineers related to the design of electrical, lighting, data, security, and A/V systems.
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Implement solutions using big data technologies such as Hadoop, Spark, and others to handle large-scale datasets. Experience with big data technologies and data warehousing.
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As the Head of Data & Analytics, you will be empowered to organize, engage and lead a team of data and technology professionals with a shared vision, roadmap and accountability around the data lake, engineering, data architecture, standardization, governance, enablement, science, and ultimately productization.
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After completing our award-winning training, you position Spectrum Enterprise as the voice, video and data consultant of choice for hospitals and other large healthcare accounts. Three or more years of exceeding revenue goal selling data, voice and video solutions B2B.
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Responsible for leading audits that provide assurance over the internal control environment following the COSO framework, and also support the Audit Services' data analytics, fraud programs, and the Enterprise Risk Management Program.
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Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapR. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking.
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With an eye toward optimization of our sales processes from our digital channels, the ideal candidate will be constantly curious, comfortable procuring and analyzing data, challenging the status quo, collaborating across different business units, working hand-in-hand with product and technology teams, and mentoring and developing a world class inside sales team.
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Privacy Compliance - Develop and implement privacy policies, procedures, and controls to ensure compliance with relevant data protection laws and regulations. Collaborate with cross functional teams to assess and mitigate privacy risks associated with data collection, storage, sharing, and processing.
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Synechron’s progressive technologies and optimization strategies span end-to-end Consulting, Design, Cloud, Data, and Engineering, servicing an array of noteworthy financial services and technology firms.
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big data jobs Title: technology lead in Charlotte, NC
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