Cloud Data Engineer- Senior Consultant ( AWS, GCP and Azure)

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below...

Work you'll do

As a Cloud Data Engineer at Deloitte you will deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies. Key responsibilities will include:

• Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
• Formulate planning, budgeting, forecasting and reporting strategies.
• Manage full life cycle implementations.
• Develop statements of work and/or client proposals.
• Identify business opportunities to increase usability and profitability of information architecture.
• Experience with program leadership, governance and change enablement.
• Develop and manage vendor relationships.
• Lead workshops for client education.
• Manage resources and budget on client projects.
• Assist and drive the team by providing oversight.

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

• 6+ years of experience in data engineering with an emphasis on data analytics and reporting.
• 6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
• 6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc.).
• 6+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
• 6+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other.
• 6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
• Bachelor's degree or equivalent work experience.
• Travel up to 10% annually.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

• AWS, Azure and/or Google Cloud Platform Certification.
• Master's degree or higher.
• Expertise in one or more programming languages, preferably Scala, PySpark and/or Python.
• Experience working with either a Map Reduce or an MPP system on any size/scale.
• Experience working with agile development methodologies such as Sprint and Scrum
• Travel up to 10% annually
• Limited sponsorship may be available