- What are your top 3 required technical skills?
- Spark,
- Python
- ETL tools like Alteryx, NIFI
- What are a couple of desired/nice to have technical skills?
- SQL
- AWS or Azure
- What soft skills would you like to see in a candidate?
- Strong analytical skills
- Detail-oriented to explore the data
- What technical level of technical competency is required to fulfill this position? [please use the terms: Foundational, Intermediate, Advanced or Expert] Advanced
- Why would someone want to work for your team within Client? What s going to stand out to a candidate about your group or the work?
Our team offers the chance to work on cutting-edge data engineering projects that directly enable data-driven decisions across the organization. Candidate will gain hands-on experience with modern tools and technologies, own end-to-end delivery, and collaborate in a high-performing, agile, and supportive environment. The role combines technical challenge, professional growth, and meaningful business impact.
- What will be your interview process? [Phone, Teams, Zoom, On-Site, 1x1, Panel Interview, # Rounds, etc.]
Teams, Panel Interview, 2 technical rounds
- Please outline potential interview block times to ensure candidate availability below [Suppliers are aware these are subject to change]:
India and STL over lap time around 7 AM to 9 AM CST
- Do you have an upcoming OOO s or plans which could potentially delay or halt the sourcing process?
No. Apart from the Client holidays, team will be available for the interview process.
- What kind of accesses will this person need? [Network & Badge or just Network]
Network and Badge
- What are your on-site expectations, are you willing to consider fully remote candidates? Most local competitors are allowing fully remote work. This will significantly increase our candidate pool. We have approval from HR and our CWP Sponsor, however, this is up to manager discretion. [Relocate by XX/XX, Local Candidates Only, Fully Remote, etc.]
Local candidates or willing to relocate to STL
Who is Client?
Client is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview:
The overall objective of this engagement is to manage and execute an organizational network analysis pilot leveraging Microsoft Enterprise Viva platform as a core integration engineer of the project team.
Responsibilities:
- Assists senior resources in the assessment, analysis and implementation Microsoft Graph Data Connect
- Acts as a technical lead for the project team and coordinate with different stakeholders including platform engineering, operations, data science & Microsoft technical support to help implement the solution
- Supports holistic platform security posture which includes:
o identifying risks
o escalating potential concerns on a timely basis
o implementing both risk mitigation plans and control functions
- Follows policies, standards, guidelines, and design patterns, researching industry best practices across multiple technologies and business domains
- Works closely with the project team to understand requirements and milestones
- Implements proper quality checks and monitors to ensure reliable functioning of the solution
- Creates well-defined monitoring tools, systems, and processes that effectively and efficiently manage the interconnected infrastructure
Experiences:
- Experience in collaborating with external teams and supporting initiatives at an enterprise level
- Exposure to Azure, M365, Microsoft Graph, Microsoft Graph Data Connect
- Hands on experience using Azure - Compute, Storage (blob), configuration including Active
- Directory Approval Groups, Application registrations, Data Factory, building automation pipelines, user provisioning, reporting, monitoring & alerts etc.
- Good understanding of Microsoft 365, Microsoft Graph & Microsoft Graph Data connect
- Good understanding of optimizing cost with efficient resource usage
- Foundational knowledge of data lake & data science techniques is a plus
- Creative and nimble with ability to overcome obstacles to solve hard problems
- Flexible and responsive, with ability to adapt to rapid change in direction or business priority
- Openness to feedback and strong self-awareness