Azure Data Engineer – Senior Consultant

SUMMARY:
Supports Data Analytics team in the implementation of client delivery on specific engagements Applies deep knowledge of technology to drive continuous improvement.

POSITION INFO:

Qualifications & Experience required

• Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired; certifications in Azure are an asset.
• 3+ years’ experience in implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise or Azure cloud to enable use cases in analytics and AI
• 3+ years’ experience with extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
• 3+ years’ experience with data warehousing or data lakes.
• Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects

Specifically, in this role, you will:

• As part of a team implement end-to-end modern data platforms in support of analytics and AI use cases
• Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
• Estimate effort and mentor junior colleagues
• Participate in technical meetings with client staff, and advise client with technical option analyses based on leading practices

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