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Utilize syndicated and shopper data (Nielsen, IRI, etc) and category insights to build stronger selling stories to drive the business. Experience with syndicated and shopper data (Nielsen, IRI, Retail Link, VIQ, CKB, RSI, etc.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should have developed and deployed complex big data ingestion jobs bringing AI prototypes to production on DataBricks and Snowflake (or any data warehouse platform). As a Lead AI Data Analyst/Engineer you will be supporting the iterative development of data science projects by identifying promising data sources, wrangling the data into features for machine learning and statistical analysis, refining features until a suitable model is created, and supporting our enterprise IT organization in deploying data pipelines.
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Experience with working on big data processing platforms like Apache Spark, building ETL code using Apache pyspark. The ideal candidate will have a deep understanding of data integration, data quality and big data processing engines on Cloud Native and Cloud agnostic platforms.
$139,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data technologies like Apache Spark or Hadoop. Role: AWS Data Engineer. Utilize AWS services such as Kinesis, S3, Glue, Redshift, and RDS SQL Server for data processing and storage.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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We are seeking a highly skilled AWS Data Engineer with extensive experience in AWS technologies to join our team as a contractor. - AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
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Communicates how T-Mobile can enable industry 4.0 capabilities to explore ways of boosting Commercial business productivity through robotics, IoT, big data analytics and augmented reality.
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Turner & Townsend are seeking a Senior Construction Scheduler to work with our team and partner with a key technology client to lead Scheduling on large-scale data center construction projects.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
$130,815 - $252,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you enjoy working on critical data center systems (UPSs, PDUs, Diesel Generators, ATS equipment and Building Controls), as well as industrial electrical equipment and systems that include power distribution components/wiring, electronic components and lighting systems.
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Experience successfully using Big Data technologies like Hadoop, Spark, Hive, NoSQL, in-memory data stores, etc., and Cloud technologies such as AWS, Azure, etc. Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
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A proven track record of administration, engineering, and operationalizing Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases. As an AWS Databricks Administrator within this Data Services team, you will be putting your Databricks knowledge and experience to work as you collaborate with teams of Data Engineers, Infrastructure and Product Managers to build and maintain the new data infrastructure platform for all of Live Nation and Ticketmaster.
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The Data Engineer will design and develop interfaces between applications, data warehouses and third-party systems in a combination of cloud and on-premise platforms. Write program/code in SQL and / or leverage Cloud Technologies such as Snowflake or Databricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting.
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Develop and deploy data interfaces that facilitate formats such as Health Language 7 (HL7), Consolidated Clinical Data Architecture (CDA/CCDA) and other types of healthcare data interfaces via Mirth applications such as Connect, Results and Match.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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big data jobs Title: senior data engineer Company: Wells Fargo in Scottsdale, AZ
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