What are the responsibilities and job description for the Senior Practitioner-Data & Analytics position at Iris Software Inc.?
Location: Edison, New Jersey
Position Description:
The Data & Analytics Senior Practitioner role is an opportunity to be part of the technology practices at Iris. The candidate will have the opportunity to collaborate with Client & Delivery Partners at Iris to engage with Iris clients on their Data & Analytics (including Data Science, AI/ML, ML & Data Ops) related initiatives, conceptualize solution options, present Practice capabilities, help bootstrap engagements and provide ongoing leadership and oversight. In addition, the candidate will also participate in various Practice related activities including competency development, Knowledge Transfers and so on. with practice presentations and technology solutions on Data & Analytics. The successful candidate will have the opportunity to build competencies in Data & Analytics collaborating with Iris Practice Leaders and Delivery Heads.
Key Responsibilities:
- Senior professional level role and hands-on enterprise level architect/ solution leader with deep experience in Data Engineering technologies and on public cloud like AWS / Azure/ GCP
- Presales - Engage with client managers to understand their current state, business problems/ opportunities, conceptualize solution options, discuss and finalize with client stakeholders, etc.
- Help build overall competency within teams working in related client engagements and rest of Iris in Data & Analytics, including Data Engineering, Analytics, Data Science, AI/ML, ML and Data Ops, Data Governance etc. related solution patterns, platforms, tools and technology.
- Staying up to date in the field regarding best practices, new and emerging tools, and trends in the Data and Analytics
- Focus on building practice competencies on Data & Analytics
Professional Experience / Qualifications
- Bachelor’s degree / Master’s degree in a Software discipline
- Experience w.r.t. Data architecture, Implementation of large-scale Enterprise-level Data Lake/Data Warehousing, Big Data and Analytics applications.
- Professionals with a background in Data Engineering should have led multiple engagements in Data Engineering in terms of solutioning, architecture and delivery.
Thanks
Rashi Agarwal
Talent Acquisition Specialist
rashi.agarwal01@irissoftware.com
