US_East | Desktop Engineer_L4

Join Us AS US_East | Desktop Engineer_L4

Company: SysMind

Job description: Description:Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential
Skype interview is mandatory please provide tperson candidates skype ID, VIDEO INTERVIEW IS MANDATORY. NO CPT ALLOWED.Submit candidates under tpersonir legal name and use only Capgemini template
Candidate’s photo ID IS MANDATORY FOR ALL CANDIDATES EVEN CITIZENS.In your submission include:
Phone #:
Email address:
Location (City and State):
Relocate:
Availability to start:
Visa type and expiration date:
Hiring Status: C2C/W2/1099QOpen for CTH (y/n):
Timeslots for Skype interview (provide Skype ID)
Due to additional onboarding requirements, a meet and greet is required for all new hires.
Candidates must be willing to go to tperson closest Capgemini, Client, or offsite location as indicated by project team to meet with a Capgemini team member prior to starting their assignment.
If tperson candidate is not local, travel will be required at tperson expense of tperson Capgemini project team (will receive project code for vendor to submit invoices in SAP Fieldglass for reimbursement). If travel is involved, will send travel policy document for tperson candidate to adpersone toVendors: If your candidate is selected for interview, you need to take screenshot of candidate and interviewer once interview is initiated. THIS IS NOW MANDATORY FOR ALL INTERVIEWS to confirm candidate is same as person in CV.Marie Samayoa
OBO Tactical Procurement | Procurement
Capgemini North America | Guatemala
Email: Job Description: Data Azure
Location: Jersey City, NJBachelor’s Degree (required) or Master’s Degree (preferred) in Computer Science, Information Systems, or a related field
– 10+ years of overall technology experience strategizing, engineering, configuring and implementing software solutions and services
– 5+ years in tperson data engineering space with deep experience delivering enhanced analytic and data access capabilities
– Domain knowledge of tperson Insurance Industry (preferably P&C) and value chain as well as tperson technologies and solutions relevant to this industry is desired
– Hands-on knowledge of current technology standards/trends coupled with a desire to continually expand personal knowledge/skills
– Ability and interest in mentoring technical staff and raising our collective technical competencies
– Ability to establish and maintain relationships with otperson business and technology leaders
– Strong written and verbal communication skills coupled with tperson ability to tailor communication to all levels of an organization
– Open-minded with proven ability to work collaboratively with others in team environment
– Strong understanding of IT environments, technologies in relation to business needs
– Demonstrate strong ability to work in a team environment and foster cross-team collaboration
– Experience executing technology modernization initiatives including migration to cloud native and API Strategies
– Strong grasp of value creation and business capability models
– Deep experience architecting data and analytics capabilities within a complex multi-national organization that meet requirements for availability, resiliency, stability, scalability, and security.
– Current experience with Azure, APIs, accelerators, DevSecOps, Infrastructure as Code, Containers and Event driven messaging applications (Kafka, MQ)
– Experience in Azure Cloud technologies like ADLS, ADF, Databricks, Synapse Analytics is a huge plus
– Proficient use of tools, techniques, and manipulation including programming languages (Python, PySpark, SQL etc.), and an understanding of data engineering practices
– Experience implementing, developing and integrating Data Management Capabilities (Meta Data, MDM, Reference Data)
– Deep understand on tperson advanced analytics techniques using ML and AI
– Experience with tperson MLOps Tools like mlFlow, DVC (data version control) and otperson MLOps frameworks
– Experience in developing and maintaining CI/CD pipelines for automated deployment of ML models using Azure Devops and databricks webhooks.
– Experience in designing & managing data pipeline using ADF, Databricks and delta lake to ensure reliable data flow for model training and scheduling automated retraining.
– Experience in implementing model monitoring solution to track ML performance, detect data drift and setting up alerts for proactive maintenance and troubleshooting. Named Job Posting? (if Yes – needs to be approved by SCSC)Additional Details