Cloud Data Engineer Solution Architect

2 weeks ago

Mechanicsburg, United States Deloitte Full time
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/Responsibilities
  • Delivery: Manage team, service delivery, engagement delivery
  • People Development: Perform role of counselor and coach; provide input and guidance into the staffing process; actively participate in staff recruitment and retention activities; provide leadership and support for delivery teams and staff in local offices. Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management
  • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution.
  • Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business

The Team

Artificial Intelligence & Data Engineering:

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Artificial Intelligence & Data Engineering will work with our clients to:
  • 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

Qualifications Required
  • 8+ years of management experience in consulting and/or in industry
  • 8+ years of experience in data engineering with an emphasis on data analytics and reporting
  • 6+ years of experience managing large scale cloud data modernization projects
  • 5+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (Google Cloud Platform), others
  • 8+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Oracle, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.)
  • 8+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines (Informatica, Talend, DataStage, Python)
  • Experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other
  • 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, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
  • Must be able to obtain the required level of security clearance for this role
  • Must live in a commutable distance to or be willing to relocate to one of the following Delivery locations: Mechanicsburg, PA
  • Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel

Preferred
  • AWS, Azure, Google, Snowflake, and/or Databricks Certification
  • Master's degree or higher
  • Expertise in one or more programming languages, preferably Scala, PySpark and/or Python
  • Experience working with agile development methodologies such as Sprint and Scrum

Information for applicants with a need for accommodation: Cloud Data Engineer Solution Architect

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