The Data Steward ensures accuracy, consistency, and integrity of organizational data. This role involves monitoring data quality and analyzing large datasets. Collaboration with cross-functional teams to optimize data workflows and maintain data governance standards is also required.
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Work on the end-to-end migration of data from legacy systems to modern platforms. Extract, analyze, and map client data collaborating with engineers and project managers. Test and validate data mapping and coding results to ensure data integrity.
- Serve as the main point of contact for data management timelines, deliverables, and technical or procedural issues.
- Plan, manage, and execute data processing and validation activities to ensure accuracy, compliance, and timely delivery.
- Develop and maintain Data Management Plans (DMP) and Data Quality Review Plans (DQRP).
Lead technical strategy and enable enterprise clients to become more data-driven through advanced AI and ML solutions. Act as the main technical voice for key accounts, guiding organizations through transformational initiatives. Combine pre-sales expertise, technical leadership, and hands-on problem-solving to influence and deliver measurable business outcomes.
We are inviting native and near-native Hungarian speakers to register for upcoming AI freelancing opportunities expected to begin at the end of 2025 and early 2026. These remote projects typically include Search relevance evaluation. Assignments include data and content annotation for AI models.
- Improve model safety by labeling and proofreading machine-written and human-written generations.
- Complete reading and text-based assignments with high attention to detail.
- Evaluate and complete preference-based tasks, ensuring responses conform to evaluations guide.
- Design, implement, and maintain AI systems.
- Develop AI evaluation modules, ensuring model observability, benchmarking, and performance monitoring.
- Build and optimize AI pipelines, data transformations, and metadata layers for clinical applications.
- Serve as a subject matter expert in Value-Based Care (VBC) analytics.
- Develop, enhance, and implement analytics solutions to guide ACO leadership and operations teams.
- Track Key Performance Indicators (KPIs) and communicate insights, trends, and actionable recommendations to stakeholders.
Administer and support QREP database replication on Mainframe DB2 and LUW DB2 systems. Create, maintain, and manage MQueues, Subscriptions, Publications, and QMAPS, including Capture and Apply processes. Provide development, administration, and performance tuning support for client environments.
Design, develop, and maintain Snowflake-based data pipelines and ELT workflows. Develop Snowflake objects, including tables, views, stored procedures, and UDFs. Monitor and optimize Snowflake performance using query profiling and workload management.