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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM’s technical capabilities for model development, backtesting and monitoring.
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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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Bachelor's degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field. Data Visualization – DOMO, Tableau Web Analytics – Google Analytics, Adobe Analytics AdServers – Sizmek Syndicated Measurement: Nielsen, comScore Ad Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, Dynata.
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1+ years of experience working with Salesforce CPQ, 4+ years of hands-on experience with Salesforce, software systems supporting efficient business processes, and 3+ years in a software development or similar role.
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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 work with IT and Data Engineering teams to help embed analytic outputs in business processes. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
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Provide consultation to clients or other engineers on topics such as climate control systems, energy modeling, data logging, building automation systems, lighting or daylighting design, sustainable design, and energy auditing.
$146,625 - $172,500 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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Expertise in Murex, particularly Credit & Market Risk configurations (PFE, CVA, VaR), Trade interface development (TDS, LTS), Market Data interface development (mdit), static data interfaces, workflow configuration, datamart reporting.
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Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science or related field, or equivalent practical experience. Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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As a Big Data Architect, you will be responsible for designing and implementing large-scale data processing systems, optimizing data workflows, and integrating new technologies to support our growing data needs.
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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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3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. Enable data discovery and curation for analytical purposes by collaborating with data scientists and providing data integration solutions.
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Expert understanding of the electrical and mechanical 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.
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