Sr. Data Engineer (AI Technical Delivery)

 

Fujitsu is the leading Japanese information and communication Technology Company and a leading provider of IT products and services including hardware, software, networking and business solutions to customers in more than 100 countries. We are known for our ability to harness the power of IT for our clients and to build innovative practices and solutions. At Fujitsu, you will find a dynamic work environment with multidisciplinary teams involved in stimulating projects. Fujitsu is where you can pursue your full career potential. We enable our employees to grow as individuals, mature as industry professionals and proudly succeed as key members of the Fujitsu team.

 

http://www.fujitsu.com/global/ 

http://www.fujitsu.com/global/solutions/business-technology/ai/

https://www.fujitsu.com/global/services/kozuchi/index.html

 

 

We are looking for an Sr. Data Engineer (AI Technical Delivery) to join our team at Fujitsu's Artificial Intelligence Team in North America.

 

The Data Engineer will play the role of an AI technical consultant and will be responsible for designing, developing and delivering customer engagements in the fields of Data, Analytics, and AI across multiple industries. Typical responsibilities will include creating AI product demos, architecting new solutions, and leading the design and implementation of Data, Analytics and AI solutions and products for clients across multiple industries.

 

Key Accountabilities:

• Cross-industry technical solutioning in the areas of Data, Analytics, AI, and Cloud solutions

• Leading the development of processes for ingestion and processing multi-sourced structured and un-structured data in rest and in motion, on premises and on the cloud using SQL, Kafka, Scoop, Flume, HDFS, Hive, HBase, Impala, Spark, Python, and other evolving tools and technologies

• Developing and validating business stakeholders' conceptual data models (including socializing and implementing logical and physical data warehouses, data marts, cloud and unstructured data storage), integrating new and existing data sources and metadata (including business rules, definitions, attributes, etc.) to deliver analytics requirements

• Building data storage solutions on premises and on the cloud – data warehouses, data marts, noSQL databases, Hive and Impala schemas

• Building data workflows, monitoring and managing jobs and resources

• Scripting in Unix / Linux shells and Microsoft Azure PowerShell

• Working with evolving data, analytics, and AI technologies like Hadoop and Spark

• Working with evolving Microsoft Azure and Amazon Web Services (AWS) cloud technologies

• Delivering solutions to customers quickly (including Proof of Concepts / Proof of Value)

• Working in collaborative and agile team environment with changing and ambiguous requirements

• Communicating with confidence and integrity with clients and peers

• Conveying complex technical concepts to business users

• Rapidly learning and implementing new technologies and tools

• Ensuring customer satisfaction and reference ability

• Traveling to client sites as required

 

Required Skills and Experience:

• Bachelor’s degree from an accredited college/university in Computer Science, Mathematics, AI, Data Science, Engineering, or related fields

• Minimum 5 years of professional Data, Analytics, and AI experience

• Minimum 5 years of proven experience working with structured and unstructured data technologies to ingest, process, model, visualize and report on structured and un-structured data in rest and in motion using Hadoop, Kafka, Spark, Microsoft Azure and/or Amazon Web Services (AWS)

• Must have experience in creating and delivering pre-sale and delivery presentations and leading client facing communications

• Preferred track record with a Blue-Chip consulting firm or a System Integrator driving client engagements focused on Data Analytics, and AI

• Preferred experience in Artificial Intelligence (AI) end to end projects

 

Desired skills:

• Master’s degree from an accredited college/university in Computer Science, Mathematics, Data Science, Engineering