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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Minimum of 4 years of hands-on experience implementing ASG Rochade data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Hands-on experience implementing enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering data governance solutions. - Help define data quality metrics associated with the quality of data ingested into ASG Rochade.
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Extensive hands-on experience in Azure Databricks fundamentals/architecture, including setting up and optimizing Azure Databricks clusters and modules (Data Engineering, ML, and SQL warehouse.
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Hands-on experience in pattern and trend identification in large data sets. 8+ years of hands-on experience in data analysis and reporting. Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Work with Global Risk stakeholders to ensure their data quality requirements are met and ensure that data quality issues originating from Consumer business processes are remediated in a timely manner in support of policy compliance objectives, employing the knowledge of data processing and quantitative techniques and hands on experience of Data Quality Metadata Management tools: Collibra Catalog, Metadata Hub, Data Lineage Tool Solidatus.
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Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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Hands on experience using Zeiss 3D Scanning tools & Metrology Software (GomInspect Pro) Day to Day QC activities (Quality gates, measurements, data acquisition) Participate within a multifunctional team on safety, productivity, and quality projects.
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Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala. Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB.
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Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace. Design a scalable target state architecture for data processing-based on document content (Data types may include, but are not limited to: XML, HTML, DOC, PDF, XLS, JPEG, TIFF, and PPT) including PII/CII handling, policy-based hierarchy rules and Metadata tagging.
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Remote Work From Home Data Entry Clerk for Entry Level Position. You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Remote Work From Home Data Entry Clerk for Entry Level Position.
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Detail-oriented with a focus on data accuracy and quality. 5+ years of experience as a Workday HRIS Analyst, with hands-on experience in Workday HCM and other modules.
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data quality hands on jobs Company: Ey in IN, Pennsylvania
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