Deloitte Cloud Data Engineering Manager in Phoenix, Arizona
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.
From our centers, we work with Deloitte consultants to design, develop and build solutions to help clients reimagine, reshape and rewire the competitive fabric of entire industries. Our centers house a multitude of specialists, ranging from systems designers, architects and integrators, to creative digital experts, to cyber risk and human capital professionals. All work together on diverse projects from advanced preconfigured solutions and methodologies, to brand-building and campaign management.
Analytics & Cognitive
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 Analytics & Cognitive 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.
Analytics & Cognitive 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
10+ years of experience in data engineering with an emphasis on data analytics and reporting.
10+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
10+ 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.).
10+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
10+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other.
10+ 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.
Ability to lead a team and manage multiple task assignments
Bachelor's degree or equivalent work experience.
Ability to travel 10-20%, on avaerage, based on the work you do and the clients and industries/sectors you serve
• Must be willing to live and work in one of our Center locations:
1.Lake Mary, FL (Orlando area)
2.Mechanicsburg, PA (Harrisburg area)
3.Gilbert, AZ (Phoenix area)
• Limited immigration sponsorship may be available
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.