... Identifies ways to improve data reliability, efficiency and quality of data management. ● Assesses the integrity of data from multiple sources. ● Works in tandem with Data Architects, Data Stewards and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...
... to ensure reliable and reusable data assets.- Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor complex workflows.- Apply CI/CD and Git-based workflows for version-controlled, automated deployments.- Collaborate with data analysts, data scientists, and architects to ...
... in Cognos environment. This group oversees report development and enhancement, framework development, training, reporting governance, tuning, some aspects of data warehousing and Cognos system administration. The position involves effective understanding of business needs combined with a knowledge of pertinent data to design ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... system integrations - Help maintain underlying AWS infrastructure for data connectivity - Collaborate with service delivery teams to ensure high-quality, reliable data is available for their analysis and reporting - Respond to data connectivity trouble tickets and work the issues to completion - Work with the connectivity team ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... debugging. - ETL with IDMC: Practical experience building and monitoring mapping tasks, taskflows, and data integration pipelines within the Informatica Intelligent Data Management Cloud (IDMC) platform. - Databricks Developer: Hands-on experience developing within Databricks workspaces using notebooks and Delta Lake tables. - ...
... adopt AI tools and techniques to improve personal and team productivity - including AI-assisted coding, automated data validation, and GenAI-driven analysis workflows- Contribute to the development and testing of AI-powered product features, such as natural language interfaces, intelligent data exploration, or automated ...
... part of our Partnership Intelligence Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines ...
... - Experience working on enterprise data modernization or cloud migration initiatives.- Exposure to Azure Databricks, data lakehouse architecture, and modern data platforms.- Familiarity with data governance and metadata management tools/processes.- Experience working with BI/reporting platforms and data visualization https://jobeax.com/link/270MvWGa8o8lTeCT ...
Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project () and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world ...
... reporting: Provide timely and relevant information through appropriate reporting mechanisms (scorecards, dashboards, monthly management meetings). Design on demand data visualizations / presentations to communicate complexity, scale & impact of solutions/delivery. - Adherence to Firm wide Controls framework associated with the ...
... https://jobeax.com/link/jpltULmz7uIFw3oa Modeling & Architecture Implementation :- Implement Medallion Architecture (Bronze / Silver / Gold layers).- Develop optimized data models (star/snowflake schemas).- Ensure data quality, consistency, and performance.- Work with architects to align with data governance and https://jobeax.com/link/2NbcZtPZphlOllJ5 ...
... interpersonal skills. - Ability to collaborate effectively with cross-functional teams. - Strong stakeholder management skills. - Strong attention to detail - Experience working cross-functional teams to support solution of complex data architecture problems - Ability to work both independently and as part of a team Other Important ...
... will support global audit teams by developing data‑driven insights, dashboards, and risk indicators that improve coverage, efficiency, and assurance quality. Working in close partnership with COE Management, you will transform raw data into actionable insights, embed analytics into audits, and help develop scalable solutions ...
... GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation, and Python or similar scripting. - Experience with Microsoft 365, SharePoint, Dataverse, Power Automate, DevOps, CI/CD, and GitHub. - Working knowledge of enterprise architecture, IAM, security, privacy, responsible AI, and regulated-environment ...
... a final answer Curious about applying AI to structural problems: pipeline debugging, anomaly detection, metadata generation, code review support Comfortable working in an environment where AI-usage practices are still evolving, and contributes ideas to shape them Experience with data quality tooling (SODA, Collibra, or ...