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The Snowflake Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure utilizing Snowflake to support business priorities. This involves creating data pipelines, managing ETL/ELT processes, ensuring data quality, and collaborating with stakeholders to drive data governance and quality initiatives.
As a Lead Snowflake Engineer, you will build and maintain data solutions on the Snowflake platform, develop data pipelines, implement governance practices, and mentor a team of data engineers to enhance analytics capabilities and ensure data quality.
As an Adobe Technical Lead, you will architect and implement innovative solutions utilizing Adobe Experience Platform and its products. You will lead project teams, collaborate with stakeholders, and ensure solutions align with strategic objectives while managing cross-functional projects and integrating Adobe tools with data platforms for enhanced analytics and customer experiences.
The Product Owner (AWS Glue) will partner with business stakeholders to develop solutions, manage product backlogs, conduct requirements gathering, and ensure compliance while leading Agile methodologies. This role involves overseeing the development of ETL workflows using AWS Glue, ensuring seamless integration, and maintaining clear communication with stakeholders.
The Salesforce Data Cloud - Solution Architect designs and implements scalable data solutions within the Salesforce ecosystem. Responsibilities include overseeing data integration projects, collaborating with development teams, gathering stakeholder requirements, monitoring data performance, and maintaining documentation.
As a Technical Lead (ML/AI), you will guide project vision and goals by coordinating with teams and analyzing existing operations. You will develop and enhance ML/AI solutions, schedule training sessions, manage project requirements, and present deliverables to stakeholders.
As a Product Owner (ML/AI), you will collaborate with business partners to develop innovative ML/AI solutions, manage product backlogs, lead Scrum ceremonies, and ensure alignment with ML/AI goals. You will gather requirements, communicate product vision, and continuously improve AI models through stakeholder feedback.
As a Sales Executive in Data & Analytics, you will manage a sales pipeline, foster client relationships, conduct meetings for customized strategies, negotiate contracts, present sales solutions, and report on sales metrics. Your focus will be on closing significant deals in sectors like Life Sciences and Financial Services.
The Strategic Data Manager will develop and implement data strategies, oversee data governance, manage data architecture, and drive data decision-making processes. Responsibilities include maintaining a data roadmap, aligning data initiatives with business needs, and leading data analysis efforts using various tools for informed decision-making.
The Sr. Data Science Solution Architect leads the vision and solution delivery for healthcare data projects, providing technical leadership in machine learning and AI. Responsibilities include architecture design, model development, and collaboration with cross-functional teams to ensure successful implementation of AI-driven solutions in healthcare workflows.
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