Description

Job Description

  • Design and develop database and application interfaces between various internal and external systems to efficiently and effective capture and integrate data
  • Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements
  • Build, test, and maintain database pipeline architectures and collaborate with management to understand company objectives
  • Create new data validation methods and data analysis tools and Ensure compliance with data governance and security policies
  • Acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information
  • Maintain application stability and data integrity by monitoring key metrics and improving code base accordingly.    

Required Technical Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product.

Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis: 

Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.

Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks: 

Basic knowledge of architecture Industry tools & frameworks

Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.

Architecture concepts and principles: 

Basic knowledge of architectural elements, SDLC, methodologies.

Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.

Analytics Solution Design: 

High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.

Tools & Platform Knowledge: 

Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Familiar with programming languages (Eg. R or Python) and able to interpret an existing script of moderate complexity.

Education

ANY GRADUATE