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Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Oversees data validation and quality assurance for Sigma/Databricks client implementations, ensuring accurate migrations and deployments. Bridges technical teams and clients to resolve discrepancies, build validation templates, and maintain audit trails for real estate/financial analytics platforms.
We are looking for an Engineering Manager or experienced Team Lead with a strong Data Engineering background to lead and scale the teams building our high-reliability, secure, and linearly scalable Data direction. This…
Implement data governance practices, manage data quality and MDM, and support data lineage for the Smart Retail Ordering program within a global retail environment.
Enterprise Data Architect designing and evolving data architecture across MDM, MDG, and data warehousing/analytics, working with SQL Server, Microsoft Fabric, Infor Visual ERP, Tacton CPQ, Salesforce, and MuleSoft in a multi-site manufacturing environment.
Business Analyst II at Cohere Health partners with stakeholders to gather requirements, write user stories, and translate healthcare data needs into technical solutions using SQL and Agile processes.
Designs, builds, and optimizes a global data platform and analytics infrastructure using Databricks, Azure Data Factory, and relational databases, enabling AI-driven solutions while ensuring governance, security, and performance.
Design and build enterprise data warehouses, lakes, and BI pipelines to deliver analytics and dashboards for government clients.
Builds and maintains data governance frameworks, catalogs, and quality processes using tools like Informatica and Collibra.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines within GCP environments. The role involves implementing data transformation logic, ensuring data quality, and collaborating with cross-functional teams to deliver scalable data solutions.
Designs and develops enterprise analytics solutions in Microsoft Fabric and Power BI, bridging business analysis and technical development to deliver scalable, governed data products for decision-making.
Data Architect in Lisbon focused on defining and implementing Data Governance and Data Quality frameworks, using cloud platforms (Azure/AWS/GCP), Microsoft Fabric, and Databricks.
Develop and integrate COINS ERP with CVR processes for a large construction industry client, requiring deep COINS expertise, Progress OpenEdge ABL, T-SQL, and API integration skills.
The Senior Data Engineer will define and implement data governance and data quality frameworks, standards, and KPIs. The role involves collaborating with cross-functional teams to manage data lineage, catalogs, and quality monitoring using technologies like Microsoft Fabric and Databricks.
The Senior Technology Product Manager will lead reliability and platform strategy for marketing infrastructure, managing complex integrations across AWS, GCP, and internal systems. The role focuses on SRE excellence, including defining SLOs, managing error budgets, and driving chaos engineering to ensure high-throughput system resilience.
Designs and oversees AI architecture for CBC/Radio-Canada, integrating LLMs, ML pipelines, and agentic AI systems while ensuring compliance, scalability, and business alignment in media tech.
A Senior Manager in Data Governance Implementation at Aviso, responsible for designing and operationalizing data governance frameworks, collaborating with business and technical teams, leading change management, and ensuring compliance and ethical data use, using tools like Collibra and cloud platforms.
A Data Analyst at Corus Entertainment supports data science and business teams by preparing data, building dashboards, and creating reporting outputs to help turn data into insights.
Design and implement secure, scalable Databricks foundations and Unity Catalog governance layers for enterprise environments. Focus on data engineering, security, and cloud storage integration.
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