... policies and specifically around Master Data Management and Data Quality, Building data warehouses and data lakes using tools like Azure Data Factory, and insights into Data Science and Data Analytics use cases within the ...
... business requirements into data needs, defining data models and setting standards for data providers. Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a ... as a Big Data Analyst and be a part ...
... reports and dashboards for monitoring data governance and quality. Familiarity with ... Airflow , Dagster , or Prefect for data workflow automation. Professional English proficiency ...
... be driven by… you About Data Competency at Sollers: Versatility is ... . • Address crucial aspects such as data privacy, security, regulatory compliance, data integrity, and availability. • Work directly ...
... proficiency, with expertise in modern data libraries and frameworks (e.g., ... of relational and NoSQL databases, data modelling, and data warehousing concepts, excellent command of ...
... remains at the forefront of data innovation. - Data Governance and Quality: Establish best practices for data quality and governance, ensuring data integrity across all stages of data processing. Required Skills: - Data Architecture Expertise: 6 years of ...
... to determine data quality and data integrity Rigorously test data infrastructure components to comply with ... an emphasis around data integrity and data quality Familiarity with data streaming and or event-driven data pipelines will be considered an ...
... experience and demonstrated expertise in data modeling, ETL processes and data warehousing. - Data Tools: Proficiency with dbt, Fivetran, ...
... development of the client’s Azure Data Platform to modernize and optimize ... combines diverse enterprise and public data sources. The data platform is at the early ... responsibilities: Build and deliver advanced data visualizations and reports using Power ...
... implement scalable, efficient, and secure data architectures, including data lakes, data warehouses, and data marts, experience with data mesh, data fabric and other methodologies, proficiency ...