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Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.
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We are driven by our strong value system, which encompasses an obsession with data, a hustler’s attitude, an owner's mindset, leading with love, and embracing change. Work closely with the Data Engineering, Product, BI, and other teams and be involved in conceptualizing and building new products from scratch.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Good to have Data Integration, Data Quality, Data Architecture and Master Data Management, Data manipulation; import, export, database conversion and parsing techniques, and Extract, Load, Transform (ETL.
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Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) performing data modeling for data lakes and warehouses, customer and financial data ingestion, and data quality application development and design.
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We have a 12-month contract opportunity for a Data Engineer to join our Business Technology Solutions (BTS) team responsible for pipeline development, data quality, advanced front-end development (data visualisation and application) and other post-delivery activities to support key business initiatives.
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Leads engineering teams and guides members in best practices for data movement, data quality, master data management (MDM), data masking, data sub-setting and/or data virtualization development (collectively referred to as data integration and data management activities.
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SaaS Senior Python Engineer – Data Quality for Engineers. It’s what made us a Leader in the Gartner Magic Quadrant for Data Quality Solutions, and what inspired Bain Capital Tech Opportunities to invest in our future growth.
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Develop data migration strategies and processes, ensuring data quality and consistency across platforms, utilizing Azure Data Migration Service and Azure Database Migration Service.
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Ensure data quality, integrity, and security standards are maintained across all data products and pipelines. You will lead a small team of data engineers and collaborate closely with cross-functional teams to deliver scalable and high-quality solutions.
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Data Quality : Monitor data quality and integrity, implementing data governance policies as needed. Ensure data integrity, quality, scalability, and security throughout the pipeline.
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Data Integrity ("DI") is responsible for data management, data governance, and data quality consumed by the functions within FRM. DI leverages tools to manage data quality based on logical rules and thresholds across one or more of the following dimensions: accuracy, completeness, conformity, consistency, coverage, duplication and timeliness.
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Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts. Typically has 2+ years of professional experience utilizing quantitative analysis/ data management (data design, data quality, metadata, governance, etc.
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Nous espérons que le modeling, le Warehousing, les Databases, les ETL, les ELT et le reverse ETL, SQL/NoSQL, les Data Contracts, le Streaming, le Cloud, le DevOps, l’IA et tout ce qui constitue la galaxie Data vous passionnent autant que nous.
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Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools.
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data quality jobs Title: senior engineer Company: Apex Systems in Snowflake, AZ
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