... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...