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Deliver state-of-the-art Monitoring, Analytics and Actionable Business Insights by employing new tools, Big Data systems, Enterprise Data Lake, AI, and Machine Learning methodologies that improve efficiencies across a variety of functions in the company: Cloud Operations, Customer Support, Product Usage Analytics, Product Upsell Opportunities enabling to have asignificant impact both on the top-line and bottom-line growth.
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Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Certified AWS Big Data Specialty (Nice to have) Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience or a high level understanding of Big Data technologies on a Hadoop platform (e.g. Informatica, Scoop, Hive, Pig, NoSQL) -Leverage your development capabilities using various tools such as Informatica, B2B, PL/SQL, Hadoop to build data assets that enable business value generation.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Stay on top of new technologies through R&D and prototyping to continuously improve our big data architectures and systems to streamline how we deliver value with high quality to our end users.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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The individual will engage in research in support of two USDAPHIS-PPQ-PPRA (Plant Pest Risk Analysis) and CIPM cooperative activities related to the collection and analysis of invasive species data with application to early warning systems for plant health.
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Minimum of 3 end-to-end SAP Master Data Governance implementations. + Minimum 7 years of experience with/in SAP Master Data Governance. Accentures SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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The Data Analyst is responsible for analyzing programmatic and community level data to produce data reports and presentations for annual reporting, as well as responding to ad hoc data requests.
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Experience with real-time data streaming platforms such as Kafka and Kinesis. We provide a unified view of Orders/Orders-adjacent data at Square, and power a variety of interfaces for our teams and third-party developers to access that data.
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Strong expertise in Big data and data warehouse, with strong skills in HDFS/Hadoop/Spark using Java/Scala/Python, SQL, NoSQL, ETL, BI Reporting, Analytics. Expertise in Databricks and ADF: Utilizing deep expertise in Databricks for complex data analytics and ADF for sophisticated data integration, ensuring optimal utilization of these tools for business needs.
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Experience as Data Engineer in Azure Big Data Environment. Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment.
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big data jobs Title: business analyst Company: Citizens in Raleigh, NC
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