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Ensure data quality and implement data governance practices. Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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About the Role:As a Data Transformation/Customer Support Analyst on the OPIS Retail Data Quality Team, you will help manage the quality of retail fuel pricing and station data.
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Skilled in establishing data governance, encompassing data quality, metadata management, lineage tracking, and access control, with a dedicated focus on building robust, high-quality data foundations.
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Detail oriented with strong written and verbal communication skills and the ability to multi-task in a fast-paced and quickly-changing environment Recommended experience: Technical Project Management, Program Management, or Coordination Experience with construction related to data center construction or heavy industrial work involving complex mechanical and electrical systems Standard business applications and tools Google Docs, Sheets, Slides, Drive, Drawings, Hangouts, etc.
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Profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating into Zscaler’s data warehouse in Snowflake. Strong hands-on experience in ELT Tools like Matillion, Fivetran, Talend, IDMC (Matillion preferred) , data transformational tool – DBT and in using AWS services like EC2, s3, lambda, glue.
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As a Senior SDET (Software Development Engineer in Test), you will be responsible for test planning, test scenario design, test case development and test automation suite development, to assess and improve the overall quality of our products.
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You will help design and implement our data governance and data quality strategy and tools to the substantial iPhone and other Apple products supply chain data and help build the strong data foundations for the future of our manufacturing systems and smarter factories.
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10+ years quality control ( QC ) or product engineering experience in PCB, semiconductor or similar process manufacturing fields. Recognized as a technology leader, Sanmina Corporation provides end-to-end manufacturing solutions, delivering superior quality and support to Original Equipment Manufacturers (OEMs) primarily in the communications networks, defense and aerospace, industrial and semiconductor systems, medical, multimedia, computing and storage, automotive and clean technology sectors.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Best practices in data quality and quality engineering. Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams.
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The Data and Devices business unit of TE Connectivity has an opportunity for an experienced Field Application Engineer in Fremont, CA to support key customers in the San Francisco Bay area. The team may consist of a Program Manager, Quality Engineering, Logistics, Procurement, Operations, and Sales.
$112,816 - $166,660 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Collaborate on data governance: Work with stakeholders to define rules, quality checks, access controls, and documentation standards aligned with best practices. Monitoring with internal tools: Utilize internal tools or integrate App Scripts to create alerts for data quality issues within PLX dashboards.
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Our technology practices include Cloud Services, Product Engineering, Data Science and Engineering, Digital Experience, DevOps, Cybersecurity, Quality Engineering, among others. ETL routines (Data Extraction, Transformation and Loading.
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Use different enrichment tools to clean and structure data and improve data quality. Work on data in our Salesforce CRM and on data for transfer between systems. Primary Duties & Responsibilities Work towards an accurate data structure to enable analytics on key business measures.
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Ensure data infrastructure offers reliable, high-quality data with consistent SLAs, sound monitoring, alerting, incident response, and continual investment to reduce tech debt. Data Infrastructure, Spark, Kafka, Presto, Flink, Hadoop, AWS, EC2, S3, RDS, IAM, Kubernetes, Python, Java, Cassandra.
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The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
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data quality jobs Title: data in San Jose, CA
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