Senior Cloud Data Engineer (Snowflake/Databricks)

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

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

Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods

Use an analytical, data-driven approach to drive a deep understanding of fast changing business

Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform

Moving data from on-prem to cloud and cloud data conversions

The TeamArtificial 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

QualificationsRequired

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 Data Warehouse, Databricks, 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, 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 (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations

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 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

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.