Major Accountabilities

Collaborate with the CIO on application Architecture and Design of our ETL (Extract, Transform,

Load) and other aspects of Data Pipelines. Our stack is built on top of the well-known Spark

Ecosystem (e.g. Scala, Python, etc.)

Periodically evaluate architectural landscape for efficiencies in our Data Pipelines and define current

state, target state architecture and transition plans, road maps to achieve desired architectural state

Conducts/leads and implements proof of concepts to prove new technologies in support of

architecture vision and guiding principles (e.g. Flink)

Assist in the ideation and execution of architectural principles, guidelines and technology standards

that can be leveraged across the team and organization. Specially around ETL & Data Pipelines

Promotes consistency between all applications leveraging enterprise automation capabilities

Provide architectural consultation, support, mentoring, and guidance to project teams, e.g. architects,

data scientist, developers, etc.

Collaborate with the DevOps Lead on technical features

Define and manage work items using Agile methodologies (Kanban, Azure boards, etc) Leads Data

Engineering efforts (e.g. Scala Spark, PySpark, etc)

Knowledge & Experience

Experienced with Spark, Delta Lake, and Scala to work with Petabytes of data (to work with Batch

and Streaming flows)

Knowledge of a wide variety of open source technologies including but not limited to; NiFi,

Kubernetes, Docker, Hive, Oozie, YARN, Zookeeper, PostgreSQL, RabbitMQ, Elasticsearch

A strong understanding of AWS/Azure and/or technology as a service (Iaas, SaaS, PaaS)

Strong verbal and written communications skills are a must, as well as the ability to work effectively

across internal and external organizations and virtual teams

Appreciation of building high volume, low latency systems for the API flow

Core Dev skills (SOLID principles, IOC, 12-factor app, CI-CD, GIT)

Messaging, Microservice Architecture, Caching (Redis), Containerization, Performance, and Load

testing, REST APIs

Knowledge of HTML, JavaScript frameworks (preferably Angular 2+), Typescript

Appreciation of Python and C# .NET Core or Java Appreciation of global data privacy requirements

and cryptography

Experience in System Testing and experience of automated testing e.g. unit tests, integration tests,

mocking/stubbing

Relevant Industry And Other Professional Qualifications

Tertiary qualifications (degree level)

We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on

our commitment to Equality and Diversity and are committed to removing barriers throughout our

hiring process.

Key Requirements

Extensive data engineering development experience (e.g., ETL), using well known stacks (e.g., Scala

Spark)

Experience in Technical Leadership positions (or looking to gain experience)

Background software engineering

The ability to write technical documentation

Solid understanding of virtualization and/or cloud computing technologies (e.g., docker, Kubernetes)

Experience in designing software solutions and enjoys UML and the odd sequence diagram

Experience operating within an Agile environment Ability to work independently and with minimum

supervision

Strong project development management skills, with the ability to successfully manage and prioritize

numerous time pressured analytical projects/work tasks simultaneously

Able to pivot quickly and make rapid decisions based on changing needs in a fast-paced environment

Works constructively with teams and acts with high integrity

Passionate team player with an inquisitive, creative mindset and ability to think outside the box. Skills:- Java, Scala, Apache Spark, Spark, Hadoop and ETL