Senior Data Engineer
StockX
Bangalore, India
4d ago

Help shape the next generation of ecommerce for the next generation of consumer.

Technology StockX :

Our Technology Team is on a mission to build the next-generation e-commerce platform for the next generation customer. We build world-class, innovative experiences and products that give our users access to the world’s most coveted products and unlock economic opportunity by turning reselling into a business for anyone.

Our team uses cutting edge technologies that handle massive scale globally. We’re an internet-native, cloud-native company from day 1 - you won’t find legacy technology here.

If you’re a curious leader who loves solving problems, wearing multiple hats, and learning new things, join us!

Description :

The Data & AI Infrastructure team is a new team within the AI organization at StockX. This platform will power product catalog data, StockX industry leading bid / ask matcher, search data pipelines, various ML / AI use cases, various big data analytics use cases, and experimentation.

The mission of the Data & AI Infrastructure org is to provide cutting edge, reliable and easy to use infrastructure for

  • Build and manage the big data platform for ingesting, storing, and processing big data at scale.
  • Build and manage the MLOps infrastructure for model management, tracking models, and productionalizing models.
  • Manage the data lake infrastructure including the data catalog
  • In this role you will be working as an data infrastructure engineer supporting the Apache Spark on AWS EMR or Databricks, S3 Data lake, Airflow, Glue Catalog, Kubernetes, etc.

    Key Qualifications :

  • 3+ years of experience scaling and operating distributed systems like big data processing engines (e.g., Apache Hadoop, Hive, Apache Spark), streaming systems (e.
  • g., Apache Flink, Apache Kafka, Apache Spark), Kubernetes, full stack development is plus

  • 2+ years of fluency in Python, Java, Scala, C++, C#, Golang
  • Ability to debug complex issues in large scale distributed systems
  • Passion for building infrastructure that is reliable, easy to use and easy to maintain
  • Strong background in building scalable and fault-tolerant distributed systems. Ideal candidates have past experience in building applications such as data pipelines, data caching / storage systems, and / or Web services.
  • 2+ years of experience using AWS or GCP or Azure Cloud infrastructure.
  • Excellent communication and collaboration skills.
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