Senior Data Engineer

Responsibilities:

. Support the business's goal of democratisation of data and data products.

. Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

. Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

. Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

. Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases.

. Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

. Implement cloud-based scalable and reliable data pipelines at significant scale.

. Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

. Build and maintain streaming and batch data pipelines.

. Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

. Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

. Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

. Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

. Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

. Adhere and have practised Agile Methodology such as Scrum.

. Implement adhering to Master Data Management Best Practices and Principles.

. Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

Requirements:

. At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

. Experience in data-related infrastructure deployments using Terraform Cloud.

. Experience in using Git for version and release management with knowledge in branching strategies.

. Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

. Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

. Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

. Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.