Senior Data Engineer
What is on offer:
- Job type: Contract (renewable)
- Duration: 1 year
- Compensation: Base salary x 12 months
In this role, you can expect to:
- Support the business’s goal of democratization of data and data products.
- Drive audience and behavioral analytics, as well as key business metrics with associated dashboard and reporting.
- Collaborate in partnership with diverse teams across company departments 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 industry data practitioners in domains across sales, marketing and advertising, engineering and corporate 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.
You should be able to:
- 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 practiced 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.
It would be great if you had:
- 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.
