Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
*You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future *
Job Summary
This includes designing implementing testing debugging and deploying.
Build metadata driven solutions that is repeatable and highly configurable.
Automate testing and deployment in AWS and Azure.
Partner with business analysts to craft stories and develop work items to satisfy those stories.
Work on an agile team to quickly iterate and release solutions.
Provide technical advice and assist end-users in solving problems.
Serve as a key subject matter expert and drive evolution of the cloud-based Data Warehouse Solutions.
KEY skillsets:
- Snowflake
- AWS / Azure
- Rest API
- Kafka
- Docker / Kubernetes
- Python
- Data Integration
- RDBMS
- Large volume of data from files such as CSV , JSON
Qualifications, Experience and Skills
Minimum of a B.S. in Computer Science MIS or related degree and 10+ years of related experience.
In depth knowledge of the following software languages and technologies:
Python SQL JavaScript
Snowflake cloud services
Proficiency with relational database ETL/ELT and data modeling concepts.
Experience in the below is expected:
AWS or Azure cloud services
Large volume of data from files (CSV JSON etc.) REST API and Kafka
Docker and Kubernetes
Power BI or Tableau
GIT or BitBucket Source Control
Agile methodologies Scrum and Kanban
Automated CI/CD pipeline.
Experience with one or more of the below is desirable:
DBT
Terraform
CircleCI
Alteryx
Jira and Confluence
Buy-Side financial technologies
Competencies
Analysis: Identify and understand issues problems and opportunities compare data from different sources to draw conclusions.
Communication: Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
Exercising Judgment and Decision Making: Use effective approaches for choosing a course of action or developing appropriate solutions recommend or take action that is consistent with available facts constraints and probable consequences.
Technical and Professional Knowledge: Demonstrate a high level of technical and professional skill or knowledge in position-related areas remains current with developments and trends in areas of expertise.
Building Effective Relationships: Develop and use collaborative relationships to facilitate the accomplishment of work goals.
Client Focus: Make internal and external clients and their needs a primary focus of actions develop and sustain productive client relationships
Roles & Responsibilities
Technical Lead Bachelors in science engineering or equivalent.Interact with clients and internal stakeholders
Provide guidance to team members and execute projects through the course of coding
Quality control deployment maintenance and support in order to deliver the project on time by ensuring maximum application uptime WITHIN the limits of SLAs Cognizant and clients standards processes and policies
Project Planning and Set-up-Understand project scope Based on the analysis of the type of the project provide inputs on project methodology to senior stakeholders (Project Manager / Architects etc.)
