Risk Advisory – Data Analytics – AWS Data Engineer – Senior Consultant at Deloitte

As an AWS data engineer in our Data Analytics practice, we are looking for people who are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You will bring your enthusiasm about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

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, other 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
• Working as a data engineer on AWS but also on other technologies.

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.
• One or more of the following AWS certifications is required:
• AWS Solutions Architect – Associate/Professional
• AWS Data Analytics
• AWS Machine Learning
• AWS Developer
• 3+ years’ experience in implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise or AWS 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