Educational requirements: Bachelor
English requirements: Competent English
Requirements for skilled employment experience for years: 1-3 years
Required residence status: Temporary visa, Permanent resident, Citizen
Accept remote work: unacceptable
Roles and Responsibilities:
Planning development strategies
Validate the business scope with customer
Able to identify and solve big data problems independently
Work on defect fixes during QA & UAT Work through the life cycle of the code from low-level design to production and post-production support.
Convert business knowledge into technical knowledge and vice – versa and able to translate those insights into effective frontline action Planning the migration and finalizing the implementation plan
Creation of Low Level Design document for target technology
Resource management (training), guide the team through transformational objectives set out by the business
Drive the end to end both Big Data Streaming and Batch pipelines
Design Proof of Concept (PoC) and finalized architecture with technical approach Responsible for project go live work like CRQ preparation, CRQ validation, Client review and approval seeking etc Participate daily stand-up, iteration planning, sprint review, and iteration retrospective Involving the engineering development projects and facilitating sprint releases
Create or analyze business requirements documents and project timelines
Engage in communicates with management and stakeholders
Work with the team to resolve project roadblocks
Proactively identify and eliminate impediments and facilitate flow
Experience in project management software (i.e., JIRA, Manuscript, etc.) to support task estimates and execution Manage the relationship with the client and all stakeholders
Establish and maintain relationships with third parties/vendors
Report and update the management/customer about the issues/blockers on time to mitigate risk Providing technical innovation to guide environment/operation and development in the automation of operational processes.
Identify dependencies and impediments of overall sprint process and remove to success Implementing solutions within complex enterprise environments
Ensuring all components provide quality, security, scalability, stability, efficiency and reliability, maintaining compliance with client processes and governing standards. Experience with Data science and Analytics
