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Data Architect

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Date: Jul 30, 2022

Location: Gros Islet, LC

Company: Digicel

About Digicel

 

As a Digital Operator, Digicel is in the business of delivering powerful digital experiences 1440 minutes of each day to customers – that’s every minute, all day, every day.

 

Through its world-class LTE and fibre networks, together with its suite of 8 apps spanning sports (SportsMax), music (D’Music), news (Loop), local radio and podcasts (GoLoud), TV streaming (PlayGo), enhanced messaging and marketplaces (BiP), cloud storage (Billo) and self-care (MyDigicel app), Digicel is the only operator in its markets that can deliver that.

 

Serving consumer and business customers in 32 markets in the Caribbean, Central America and Pacific, its investments of over US$7 billion and a commitment to its communities through its Digicel Foundations in Haiti, Jamaica, Papua New Guinea and Trinidad & Tobago have contributed to positive outcomes for over 3 million people to date.

 

With its Better Together brand, Digicel is making a promise of simply more to customers and communities and its 7,000 employees worldwide work together to make that a powerful reality day in, day out.

 

Visit www.digicelgroup.com for more.

 

 

Job Purpose: 

 

Define the architecture and build the Data Lake, Data Warehouse & BI Platform to enable clean data pipelines

 

 

Key Objectives: 

 

  • Responsible for developing and maintaining the data lake and data warehouse for the Financial Service business.
  •  Coordinate with various stakeholder, executives and business users to build the necessary data requirements, and create unique data infrastructure, isolate errors and update systems to accommodate changes for the business needs.
  • The candidate should be able to analyse raw data, develop and maintain datasets, and improve overall data quality and efficiency

 

 

Main accountabilities: 

 

  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. Assembling large, complex sets of data that meet non-functional and functional business requirements for the DFS business
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using prominent Cloud and SQL technologies.
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Work with partners and software engineers to enable the DWH/BI solution across the business.

 

Qualifications: 

 

  • Bachelor's degree in data engineering, big data analytics, computer engineering, or related field. Master's degree in a relevant field is preferred.

  • At least 5 years’ proven experience as a data engineer, software developer, or similar.

 

Functional Skills and Abilities: 

 

  • SQL, Amazon RDS/Redshift, Google Big Query etc.
  • Experience working with Cloud solutions such as AWS, Azure and Google
  • Experienced in working on visualization software such as Tableau or Microstrategy

 

 

 

DISCLAIMER:

 

This job description indicates the general nature and level of work expected of the incumbent.  It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent.  Incumbent may, and probably will be asked to perform other duties as required.  Each employee, regardless of classification, is required to maintain a safe, orderly and clean workplace, using safety precautions and observing safety rules at all times.


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