Data Engineer
... such as internal databases, IoT data, fleet data, and third-party sources Ensuring seamless integration of data into the Data Lake, adhering to data quality and consistency standards Utilizing your ...
... such as internal databases, IoT data, fleet data, and third-party sources Ensuring seamless integration of data into the Data Lake, adhering to data quality and consistency standards Utilizing your ...
... 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 ...
... 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 ...
... projects havent deployed. Why? Poor data quality - it is the 1 obstacle ...
... and maintaining robust data models, integrating data sources, and building scalable ETL processes to support high-quality, real-time reporting. The role ... testing to validate data accuracy, performance, and overall quality of BI solutions, identifying and ...
... Design, build, and validate data transformation pipelines to create data models ● Document our data models, logic, and the raw data itself ● Perform internal code & data reviews ● Monitor our data and solve data quality issues ● Lead initiatives to ...
... stack. This project will enhance data quality and governance practices and support ...
... 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 ...
... experience in building and optimizing data pipelines, architectures, and datasets ability to write high-quality, well-documented, and thoroughly tested ...
... -time analytics and decision-making. Data Quality and Governance : Establish and enforce data quality standards, data governance policies, and best practices to ensure data accuracy, consistency, and integrity across ...