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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Specialty.
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Experience leading the design/implementation of configuration driven, scalable, reliable services and big data workflows/pipelines using EMR, Kafka, Spark, Hive, Airflow or equivalents. Works with internal and external stakeholders to understand product demand and help manage CMDB and platform data requirements, ensuring alignment with CSDM and McDonalds standards.
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Grow into a Big Data professional or Technical Architect role over a period. Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc.
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5+ years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or Bioinformatics. Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.
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Keep pulse of the latest development trends in cloud (AWS, GCP, Azure, etc), data platforms (Databricks, Snowflake etc), databases (RDBMS, SQL, NoSQL, Oracle, etc.) Understanding of streaming (e.g. Kafka, Kinesis), batch & workflow (e.g. Airflow, AWS Glue, CTTRL-M) data transport technologies.
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Develop and execute strategies for selling premium high-profile properties such as NFL, Big Ten College Football, PGA Golf, WNBA, NCAA Men's and Women's College Basketball, UEFA Soccer, NWSL Women's Professional Soccer.
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4+ years of experience working with Big Data Technologies such as Apache Spark, ● 2+ years of experience with Databricks capabilities related to data engineering. ● Preferred: Databricks Certified Data Engineer Associate/Professional Certification.
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Experience with data analytics, PySpark, and Big Data is an added advantage. Northern Trust is seeking a dynamic Sr. Lead Cloud/Data Platform Engineer to support key data platforms, including Snowflake, Databricks, and other data platforms.
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A law firm is seeking an experienced Senior Digital Risk Advisory And Cyber-Security Associate Attorney to join their team in Chicago, IL. This role is pivotal in providing expert legal counsel on proactive and reactive privacy and data protection compliance matters.
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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Active Directory (AD), Azure Storage, Cloud Infrastructure, Data Center Networks, Design Planning, Disaster Recovery (DR), EMC Storage Area Network (SAN) Administration, Information Technology (IT) Infrastructure, Microsoft Azure, Microsoft Azure Active Directory (AD) Multi-Factor Authentication (MFA) Management, Project Intake Management, SAN Storage, Storage Management, VMware Technologies.
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The role does this by bringing a strong background in SharePoint/PowerApps, PowerBI, data modeling (e.g., SAS, R, SQL), project management and other skills necessary to both develop and manage an expanding queue of productivity enabling projects.
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Pay Transparency Statement: Alight considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate’s experience, education, certification/credentials, market data, internal equity, and geography.
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7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with data modeling tools (SAP PowerDesigner), database management systems, big data environments and ETL tools. The ideal candidate will possess in-depth knowledge of cybersecurity principles, data management best practices and have a proven track record of successfully implementing a monitoring and logging strategy in both structured and unstructured data within a big data environment.
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big data jobs Title: fraud detection in Chicago, CA, Us
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