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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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Fields such as Mail Processor, administrative, general office, accountant, administrative assistant, auditor, bookkeeper, office assistant, secretary, staff assistant, typist, etc. To allow a better understanding of the Postal Service Mail Processor position, the following is a brief description.
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Qualifications:Bachelor's degree in Computer Science, Engineering, or a related field3+ years of experience in an ETL development roleProficient knowledge of Databricks, Python, and SQLExperience with Azure, Snowflake, Azure Data Factory, and DBT is a plusStrong analytical and problem-solving skillsExcellent communication skillsAzure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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Performing routine quality audits of instrument sets and equipment under the direction of the sterile processing manager. Three (3) years of instrument assembly / sterile processing experience Completion of a surgical tech program may substitute for one (1) year of sterile processing experience IAHCSMM certification as a Central Service Technician or obtained within 6 months of hire.
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Configure and customize Informatica MDM Hub, including match and merge rules, data validation rules, and data quality processes. Key Responsibilities: Design, develop, and implement Informatica MDM solutions to manage master data assets across the organization.
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Perform detailed water testing & analyses at industrial sites such as food processing plants, hospitals, manufacturing plants, commercial buildings, military bases, and data centers. Help sell corrosion & scale inhibitors, coagulants, flocculants, biocides, bio-augmentation, feed & monitoring equipment, water management plans, reverse osmosis products.
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Graduate of an accredited: Surgical Tech, or Endoscopy Tech or Instrument Tech (sterile processing) Program. Six months experience working in an endoscopy or gastroenterology setting or cleaning endoscopy equipment, OR have successfully completed a Surgical Technologist/technician OR Endoscopy Tech OR Instrument (sterile processing) Tech Program OR niche training/education in gastroenterology.
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Work products and documents related to developing robust pipelines to integrate publicly available data into the downstream analysis of NHGRI/DIR-generated research data; develop computational pipelines for processing and analysis of a variety of next- generation sequencing data.
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Pioneer the adoption of Databricks data lakehouse architectures, focused on simplifying data management and enhancing data processing capabilities. Mentor junior data engineers, instilling best practices in Databricks and techniques for sophisticated data processing and entity resolution.
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Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes. You’ll handle administration, configuration, and optimization to support data analytics, machine learning, and data engineering activities.
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Work with Delta Lake and Databricks for advanced analytics and data processing. Build and maintain Lambda functions for serverless data processing. Knowledge of Delta Lake, Databricks, and S3 data lake storage.
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Audit identity and access management to assure they are properly managed and maintained for all systems utilized to access driver’s license and motor vehicle registration data; and recommend remedial action when required.
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Experience with enterprise risk management approaches and objectives (e.g. risk management framework, risk appetite, material risk identification, risk measurement, policy development, regulatory capital, data governance, committee governance.
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Collaborate with cross-functional teams responsible for data collection, storage, integration, processing, analysis, and visualization. The VP Analytics Operations and Commercialization plays a critical leadership role in shaping and executing our organization's data strategy and driving the success of our organization by leading strategic initiatives related to analytics operations and the commercialization of data products.
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Delivering data engineering pipelines using databricksAWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Incorporate core data management competencies including data governance, data security and data quality.
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mail processing data jobs Company: Smart Data Solutions in St Paul, MN
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