HOW YOU'LL SPEND YOUR TIME
- Implement and optimize end-to-end Databricks Spark pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
- Implement data validation and quality checks to ensure accuracy and consistency
- Collaborate with data scientists, analysts, and other stakeholders to understand data
- requirements and deliver tailored solutions.
- Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
WHO YOU ARE
- 2-4 years of experience working as a professional software developer.
- Experience in Stream-based data-processing at scale (Spark, Flink, Dataflow, EMR, etc.) with real time data streaming (e.g. with Kafka/Kinesis)
- Experience in programming languages like Java/Scala and Python
- Experience writing well designed and testable code, and writing effective unit and integration tests.
- Passion for working with a small team of world-class developers, solving challenging problems.
- A desire to work in a collaborative environment focusing on continuous learning; participating in mentoring, tech talks, documentation, code review, and some pair programming.
WHAT CAN HELP YOU STAND OUT
- Experience in eCommerce and marketplaces, working with marketplaces and platforms (e.g. Amazon, Shopify, Google, Ebay)
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