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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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As a Data Science intern on our team, you’ll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. · Hands-on experience with DataBricks for building and optimizing data pipelines.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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PacketFabric Data Center Engineer THE ROLE: As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. (Customer, Data Center Operator, Telecommunications Vendor or Customer) Understanding of large scale data center environments (power, cooling, physical hardware, cabling topologies.
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Epsilon accelerates clients' ability to harness the power of their first-party data to activate campaigns across channels and devices, with an unparalleled ability to prove outcomes. We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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As a Data Integration Engineer you will be a member of our highly technical production support team, who develops, pro-actively monitors, performs wellness checks and observes the status of File Transfer in the Production and Development environments.
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Certifications in Information, Data, Privacy Records or Security such as: Certified Information Privacy Professional (CIPP), Certified Information Privacy Management (CIPM), Certified Records Manager (CRM), and/or Certified Information Privacy Technologist (CIPT), Certified Information Systems Security Professional (CISSP), Information Governance Professional (IGP), Certified Information Security Manager (CISM) and Certified Information Systems Auditor (CISA.
$110,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of securities lending processes, data models, and functional flows to translate product vision into vertically sliced stories to develop the product iteratively in Agile methodologies to dive into the technical details at logical level.
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Craft compelling value propositions: Demonstrate how our cloud data services (AWS, GCP, Azure, Snowflake, Databricks) deliver tangible business outcomes and competitive advantage. Demonstrated expertise in cloud data platforms (AWS, Azure, Snowflake, Databricks) and relevant financial services technologies.
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As a Power BI Developer, you will play a critical role in transforming complex data into actionable insights as a part of our multi-year data migration into Microsoft Fabric. We are seeking a skilled Power BI Developer to join our dynamic team and help us leverage data insights to drive strategic decisions and optimize our services.
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5+ years of strong experience in data engineering, specifically with AWS backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, EMR, and Athena. McDonald’s Global Technology – Customer 360 team is looking to hire a Data Engineer/Site Reliability Engineer (SRE) with a deep understanding of data product lifecycle, standards, and practices.
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Recent experience in leading and establishing people analytics, HR data management strongly preferred. Experience with various data governance, catalog and quality tools such as Collibra, Informatica, SAP, and/or Microsoft PurviewExperience with Master Data Management, SAP MDG and core data objects such as Material, Customer, Vendor, People and Finance data.
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data job Title: developer Company: Cognizant in Chicago, IL
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