Leads and performs the design, program, test, implementation and documentation of highly complex computing applications and software system architectures or computing architecture and computing application system designs
Works with SAP B4/Hana data modeling skills needed for data acquisition, ETL/ELT for analytics, integrations and connection to Cloud Service Provider (CSP) (AWS/GCP/Azure)
Understands datastores object/Operational Data Store (ODS) views, hierarchies & master data, data governance standards, security & policies, integrations needed for SAP integrations with data lakes & cloud platforms
Creates and implements repeatable and reusable patterns for delivering Data and Artificial Intelligence (AI) solutions
Initiates and leads the analysis of end user processes to define application requirements
Designs, implements, and optimizes end to end data pipelines framework, automation for ingesting, processing and transforming large volumes of structures and unstructured data
Designs and implements data products, data storage solutions including relational databases, Datawarehouse, data lakes and cloud storage services
Optimizes robust Extract Load Transform/Extract Transform Load (ELT/ETL) pipelines to gain scalability & performance of analytics solutions and operational use cases
Builds and maintains integrations with internal and external data source and Application Program Interfaces (APIs)
Writes and compiles highly-complex code and constructs based on documented design or designs application architecture that integrates application software and delivery subsystems for specific applications
Leads and performs analysis of information to determine architecture specifications, parameters for software compatibility, application security needs and other application architecture requirements

Requirements

5+ years of experience building platforms and data products
5+ years of experience working with data and data warehousing business solutions
3+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
Experience with data pipeline tools and Extract Transform Load (ETL) services
Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
Experience with Artificial Intelligence (AI) hardware and software integration
Experience with C++, Python and Java
Experience with IoT, digital thread and digital twin development capability on cloud platforms like AWS, Azure, or GCP

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingETLELTdata pipelinesdata warehousingC++PythonJavadata governancedata storage solutions

Soft Skills

leadershipanalysisproblem-solvingcommunicationcollaborationorganizational skillsprocess definitionimplementationoptimizationdocumentation