Cloud Data Engineer (AWS, GCP and Azure)

Cloud Data Engineer - Senior Solution Specialist - USDC

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

A Big Data Architect, Solution Architect at Deloitte will manage and 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.

• 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

• Limited sponsorship may be available