Senior Data Engineer
3 weeks ago
We're seeking a highly skilled Senior Data Engineer to join our team at StockX. As a Senior Data Engineer, you will be responsible for designing and building mission-critical data pipelines with a highly scalable distributed architecture. This includes data ingestion, integration, curation, and automation of end-to-end data pipelines with metadata, data quality checks, and audit.
Key Responsibilities
- Design and build scalable data pipelines using distributed architectures.
- Help improve ongoing reporting and analysis processes.
- Build and support reusable frameworks for data ingestion, integration, and provisioning.
- Automate end-to-end data pipelines with metadata, data quality checks, and audit.
- Build and support big data platforms on the cloud.
- Define and implement automation of jobs and testing.
- Optimize data pipelines to support ML workloads and use cases.
- Support mission-critical applications and near real-time data needs.
- Capture and publish metadata and new data to subscribed users.
We're looking for a candidate with 3+ years of experience in using programming languages (Python, Scala, Java, C#) to build data pipelines. You should have a minimum of 3 years of experience with Big Data and Big Data tools, including batch processing (e.g., Hadoop distributions, Spark) and real-time processing (e.g., Kafka, Flink/Spark Streaming). Experience with database architecture/schema design and strong familiarity with batch processing and workflow tools like AirFlow and NiFi are also required. Additionally, you should have strong interpersonal, verbal, and written communication skills and be able to present complex technical concepts to executive audiences.
What We Offer
We offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development. If you're a motivated and experienced data engineer looking to join a dynamic team, please apply.
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