Senior Data Engineer
2 weeks ago
Responsibilities
● 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 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 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
Skills/Requirement
At least 8 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.
Tell employers what skills you have
Tableau
Git
Sales
Business Intelligence
Dashboard
Pipelines
Architect
Release Management
Product Engineering
Marketing
Data Engineering
EMR
Publications
Data Science
Business Analyst
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