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Business Data Architect

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About the Role

As a seasoned Data Engineer, you will be responsible for designing, implementing, and maintaining large-scale data systems that drive business growth and innovation. Your expertise in stream-processing systems, such as Apache Spark and/or Kafka Streaming, Storm, etc., will enable us to optimize our data pipeline architecture and improve data flow and collection.

  • Create and maintain optimal data pipeline architecture
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, revenue management, operational efficiencies, and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Key Responsibilities

- Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, performance, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.

Your Profile

We are looking for an experienced professional who possesses:

  • 3+ years of experience in a Data Engineer role
  • Experience with programming and scripting languages: Python, Scala/Java
  • Experience working with relational databases and data warehouses, including Postgres, Microsoft SQL Server, Oracle, GCP BigQuery, etc.