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Strong understanding of data governance, data quality, and data security principles. Title: Data Quality Engineer. Ensure data quality and integrity by developing and implementing data validation and testing strategies.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Must have two (2) years of experience with: At least one data modeling tool (ER/Studio, Erwin); Experience with any data profiling and data quality tools like Apache Griffin/Deequ/Great Expectations; Familiarity with business intelligence tools (such as PowerBI); Running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Job Req ID: 25346 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
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Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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You will be a key quality leader for site activities including data automation, statistical analysis, problem solving, action plans, RFCs, and preventative actions to reduce/eliminate risk to customer’s product performance.
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Proven experience as an MEP Manager, QA/QC Manager, Quality / Cx Lead PM, Commissioning Manager, or similar role in data center and mission-critical projects. As the Commissioning Manager for Data Center Construction & Mission Critical Projects, you will be responsible for ensuring the highest standards of MEP systems, quality assurance, and commissioning processes throughout the construction phase.
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Understanding of GCP services related to big data like BigQuery, Dataflow, Pub/Sub,GCS, Composer/Airflow. Or, similar solutions in AWS: Redshift, SNS, SQS, S3, Kinesis and others Nice-to-Have Skills Big Data Processing: ETL/ELT experience Linux/Unix: Bash shell scripting Scripting Languages: Groovy, Python Containerization & Orchestration: knowledge of Docker, Kubernetes Cloud Certification: Relevant certifications in cloud technologies.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Lead the development, implementation, and maintenance of a scalable, reliable, and high-performing data infrastructure, including an enterprise data platform.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Design, build and maintain complex ELT jobs that deliver business value Translate high-level business requirements into technical specs Ingest data from disparate sources into the data lake and data warehouse Cleanse and enrich data and apply adequate data quality controls Provide insight and direction to guide the future development of MassMutual’s data platform Develop re-usable tools to help streamline the delivery of new projects.
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data quality jobs Title: enterprise data architect Company: Cardinal Health
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