Lead Platform Engineer - Octave: Data and Advanced Analytics Centre of Excellence
Our business built over 150 years touches nearly every major sector of the economy. We generate a significant quantum of data and we intend to use it to build the future of our businesses. Our Digital and Analytics insights can positively disrupt life for all Sri Lankans and our commitment to passion and excellence will help to deliver superior value to customers, our people and the community.
Octave will be the cornerstone of our data driven strategic and operational decisions!
Team Octave will solve JKH’s most intractable problems across industry verticals by building pipelines using Python and Azure data factory to work on one of the country’s richest data lakes, building and implementing complex machine learning algorithms which will impact millions of Sri Lankans.
We are looking for driven and enthusiastic analytics practitioners for our Data and Advanced Analytics Centre of Excellence- Octave.
Key responsibilities:
- Work with the technology team to develop data architecture and engineering components
- Manage usage of Azure cloud data services such as Azure Data Factory, Azure Databricks etc.
- Manage delivery of technology projects in partnership with business, IT and analytics teams
- Be the central custodian for data platform practices on aspects such as access controls, cost controls.
- Plan, communicate and action implementation requests on data lake platform and maintain a feature backlog. Structure, problem solve and prioritize technical features within backlog.
- Develop project schedules and coordinate status meetings throughout the project life cycle (Development, testing and deployment)
- Identify new technology opportunities in the organizational value chain to ensure scale of platform consumption
- Drive continuous improvement of data platform
Ideal candidate should:
- Real-world experience in using Microsoft Azure
- Experience with managing teams using agile methodologies such as Scrum, Kanban
- 4+ years of experience on data and cloud engineering projects
- Expertise in SQL, PL/SQL or T-SQL with RDBMSs like MS SQL Server, Oracle in production environments
- Expertise with maintaining and configuring data engineering and ETL tools (e.g., Azure Data Factory, SSIS) and Azure networking is a distinct advantage
- Certification on Microsoft Azure cloud (Engineering, Architecture or Administration) is a distinct advantage
- Prior experience in Python programming is a distinct advantage
- Prior experience with big data tools such as Hive, Spark, Hadoop, or Presto would be an advantage