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Lead Data Engineer

2 months ago

Austin, United States Simplex Full time
Job DescriptionJob Description

This is a 100% Remote position and is Salaried + Equity. Our client is a Series A Startup that is leveraging generative AI to build game-changing B2C technologies that will revolutionize the online shopping experience for consumers.

We seek a Lead Data Engineer to take charge of our data engineering initiatives, focusing on enhancing data collection, storage, and analysis across all of our client's dynamic services. This lead position is pivotal to our data infrastructure, enabling data-driven decision-making and supporting our ambitious growth objectives.

Key Responsibilities:

  • Architect and scale a state-of-the-art data infrastructure capable of handling batch and real-time data processing needs with unparalleled performance.
  • Collaborate closely with the data science team to oversee data systems, ensuring accurate monitoring and insightful analysis of business processes.
  • Design and implement robust ETL (Extract, Transform, Load) data pipelines, optimizing data flow and accessibility.
  • Develop comprehensive backend data solutions to bolster microservices architecture, ensuring seamless data integration and management.
  • Engineer and manage integrations with third-party e-commerce platforms, expanding data ecosystem and capabilities.

You

  • A background at a product-centric software company directly contributing to building products (vs providing data/analytics to business stakeholders)
  • Software development experience with a focus on data engineering.
  • Extensive experience in building ETL pipelines using tools such as Apache Spark, Databricks, or Hadoop.
  • Proficiency in Python or Java, with a deep understanding of software engineering best practices.
  • Expertise in distributed computing and data modeling, capable of designing scalable data systems.
  • Proficiency with NoSQL databases, including MongoDB, Cassandra, DynamoDB, and CosmosDB.
  • Proficiency in real-time stream processing systems such as Kafka, AWS Kinesis, or GCP Data Flow.
  • Skilled in utilizing caching and search technologies like Redis, Elasticsearch, or Solr.
  • Familiarity with message queuing systems, including RabbitMQ, AWS SQS, or GCP Cloud Tasks.
  • Experience with Delta Lake, Parquet files, and AWS, GCP, or Azure cloud services.
  • A strong advocate for Test Driven Development (TDD) and experienced in version control using Git platforms like GitHub or Bitbucket.
  • Experience at a startup is preferred.
  • Experience with consumer e-commerce data/technologies would be a bonus.



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