Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.
Drive continuous improvement in prescribed activities.
Requirements
Strong understanding of Agile frameworks and tools (Jira, Confluence).
Technical awareness of authentication systems, APIs, and CI/CD pipelines.
Awareness of data and writing SQL/ JQL queries.
Certified Scrum Master (CSM) or Professional Scrum Master (PSM).
Hands-on experience of workflow application and business rules engine.
Experience gained in a previous role of the following must be evident: requirements gathering, analysis and functional design, writing business & technical documentation, writing test cases, test case execution and data analysis.
Tech Stack
SQL
Benefits
Excellent communication, facilitation, and conflict resolution skills
Support integration testing and quality assurance by coordinating with SDETs and developers.
Facilitate Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) ensuring they are productive and time-boxed.
Maintain backlog health in collaboration with Product Owner and Tech Leads.
Represent the team in governance forums, providing updates on risks, dependencies, and progress.