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You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics. Own data quality for key Salesforce data points, establishing processes and best practices to maintain and improve data integrity, and leveraging the latest tools for data cleansing.
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Experience with Master Data Management (MDM), data governance, and data quality solutions is a plus. Root-cause analysis of MDM discrepancies or data quality issues - in partnership with cross-functional operations teams that includes: Contract Strategy Implementation (CSI), Managed Care Contracts (MCC), Field Analytics and Insights (FAI), and Client CommercialIIT Department USIX.
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Data Management : Proficiency in data management strategies including data governance, data quality, and master data management. As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Requirements: BS degree in Chemistry, Biochemistry, Molecular Biology, Virology or related scientific disciplines or equivalent experience, + 15 years of experience, 5 years of experience must be in Quality Control or cGMP laboratories.
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Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data.
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Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data. High integrity to data accuracy and quality is crucial.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Posted on Jun 16, 2022 Apply for this job your email: upload resume: Profile See yourself at Twilio Join the team as a VP Engineering, Segment Core Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
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You will also provide support to other data users including peer-reviews, training and acting as a data modeling/SQL/dbt SME across various business initiatives. Linktree's Data Engineering team is at the forefront of transforming the way Linktree leverages data, working closely with the insights, data platform product and marketing teams to become truly data driven.
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Experience developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability. Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
$120,700 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in data analysis and visualization tools such as SQL, Python, R, Tableau/Looker/Mode, or similar. Implement and oversee reverse ETL processes to feed crucial marketing data into GA4 and Google Ads for enhanced campaign tracking and audience targeting.
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Optimize data flows and architecture to improve data accuracy, accessibility, and quality, ensuring data is available for real-time and batch processing. Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Root-cause analysis of MDM discrepancies or data quality issues in partnership with cross-functional operations teams that includes: Contract Strategy Implementation (CSI), Managed Care Contracts (MCC), Field Analytics and Insights (FAI), and client's Commercial IT Department USIX.
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Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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data quality jobs Company: Change Healthcare in San Francisco, CA
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