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Experience with governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management.
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Knowledge of relevant regulatory requirements and compliance standards, such as GDPR, HIPAA, and PCI-DSS.Proficiency in data management tools and technologies, such as data governance platforms, ETL tools, and cloud-based data services.
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In this role, the Data Engineer will be a member of the RISC team and will be a design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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Extensive knowledge of/experience with data integration, data quality, multi-dimensional design, and ETL tools, processes, and methodology. Consider Exact, Transform and Load (ETL) and Reporting challenges in designing data models.
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Candidates MUST have Alteryx experience related to ETL, not just Alteryx experience based in data prep. Loading data warehouses using ETL tools - 2 years. Experience with data quality tools and frameworks - preferred.
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The Database Developer is responsible for delivering data warehouse, business intelligence, and operational data solutions by developing data integration and ETL processes, data quality and master data management solutions, and administration of SQL Server, and Azure SQL. This individual works closely with end users and IT development staff to ensure that new and existing data models and databases are consistent with approved MHN data architecture standards and HIPAA security requirements.
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Experience leading and architecting enterprise-wide initiatives specifically in automation testing for ETL testing and several phases of testing, data migration, transformation. understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc.
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Resolves data integration and security issues for adherence to the organization's quality standards. Helps advise business, applications and operations counterparts to ensure data integrity and availability.
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Drive data accuracy, employing ETL processes and data quality tools. Trouble-shoot and resolve data-related issues applying analytics, pragmatism and teamworkGeneral OperationsFacilitate Scrum ceremonies and lead all aspects of software life-cycle management.
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Employ new and existing systems in the creation of ETL processes, and data quality validation techniques. Essential Functions: SQL Development & Data ManagementImplement and maintain ETL/ELT solutions ensuring proper database coding standards, and quality assurance procedures using SQL and.
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Additional responsibilities of the Sr. Data Engineer role include: Lead the design, development, and optimization of ETL workflows and data pipelines using SQL Server and stored procedures.
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Loading data warehouses using ETL tools – 2 years Nice to Have: a. Experience with data quality tools and frameworks - preferred c. Job Description We have an immediate opening at the Department of Employee Trust Funds (ETF) for a strong Data Engineer to participate in our Data Management Program.
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At least 3 years of experience across one or more of these areas is required: master data management, ETL, data integration, data warehousing, and data lakes. 50% travel expectedProven ability to manage roadmaps for data pipelines, Data management feature/functions (Data Quality, Data Governance, Information delivery etc.
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Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality, and lineage. This requires a strong IT-centric skill set including a solid understanding of SQL, database design, ETL, and reporting tools and techniques to execute on the building and delivery of accurate and timely reporting and data solutions.
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Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.
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etl data quality jobs
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