Top Data Jobs in Calgary
As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.
As a Data Scientist, you will analyze large data sets to identify opportunities for optimization and test the effectiveness of various actions. You will develop algorithms and data models, apply data mining techniques, and conduct statistical analyses to create high-quality predictive systems.
The Data Analytics role involves transforming data into insights to inform business decisions. Responsibilities include conducting lifecycle analysis, developing reporting capabilities, and monitoring performance for quality improvement.
The SAP Data and Integration Analyst at Royal Canin will support the EOS business transformation by designing integrations for SAP S/4 related to the Make to Deliver template, focusing on master-data and transactional integrations. The role requires collaboration with various technical teams and creating interface specifications and test plans.
As a Staff Software Engineer specializing in Data, you will shape the technical vision of the data platform, enhancing infrastructure for low-latency and scalability while supporting BI and Analytics teams. Key responsibilities include collaborating on platform development, mentoring, and ensuring data quality, alongside implementing architectural standards for the data environment.
The Technical Data Steward will manage logical data models, oversee metadata, and collaborate with ingestion and curation teams while ensuring data integrity and governance. Responsibilities include developing technical requirements, communicating updates, managing access controls, and acting as an escalation point for data quality issues.
As a Senior Manager, Technical Data Steward at McAfee, you will lead the Enterprise Data Stewardship team, providing mentorship and strategic guidance. You will collaborate with business leaders to define data requirements, manage logical data models, and oversee data quality and access controls.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
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