What You'll Do –
Ingest and aggregate data from both internal and external data sources to build our datasets.
Build large-scale batch and real-time data pipelines with data processing frameworks like Apache Beam, and Spark on the Google Cloud Platform.
Continuously optimize our Data warehouse and ensure it is performant and cost-effective and secure.
Use best practices in continuous integration and delivery using CI/CD tools and orchestration frameworks like Airflow and DBT.
Help drive optimization, testing, and tooling to improve data quality.
Collaborate with other engineers, business analytics and stakeholders, taking learning and leadership opportunities that will arise every single day.
Who You Are –
You're curious and take initiatives to build systems and ease the lives of data stakeholders.
Have at least 0-1 year of working with heterogeneous data and systems.
You know how to ensure data quality and are an agent for the automation of the data platform.
You know how to write distributed services in Java or Scala or Python
You have deep knowledge about data modeling, data access, and data storage techniques in a data warehouse.
You understand the value of collaboration within teams and can build relationships with a diverse set of stakeholders.
Experience with any frontend technology like React, Vue.js, Angular, etc. is a plus.
Experience with a cloud provider. Experience with Google Cloud Platform is a plus.
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