Senior Data Engineer
... other relevant tools to prepare data for analysis and reporting. Data Quality and Governance: Implement data quality checks and data governance practices to ensure the ...
... other relevant tools to prepare data for analysis and reporting. Data Quality and Governance: Implement data quality checks and data governance practices to ensure the ...
... other relevant tools to prepare data for analysis and reporting.Data Quality and Governance: Implement data quality checks and data governance practices to ensure the ...
... , all while ensuring adherence to quality standards, strategic alignment, and the prompt delivery of actionable insights. Key Responsibilities Data and Integration Strategy Execution: Work ...
... and enthusiastic Solution Architect for Data & Analytics who can bring his ... and passion for delivering high-quality technical solutions, ability to manage ...
... technical design documentation and conceptual data modelling Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc. Own your data products and track continuous stability ...
... & Growth vertical. Collaborate with the data engineering team to enhance data resources, ensuring accuracy, completeness, and quality. Explore new data opportunities to support strategic initiatives. ...
... ) experience with working with large data sets through Spark and RDBMs experience with versioning systems (e.g. Git) ability to write quality, well-documented and well-tested ...
... (Extract, Transform, Load) operations. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and ...
... that meet business needs Implement data quality checks and monitoring to ensure data accuracy and consistency Develop and maintain documentation for data infrastructure and processes Stay up- ...
... to monitor, assess, and improve data quality across various databases and systems (identifying data anomalies, cleansing data, and collaborating with relevant stakeholders ...