Qureos

FIND_THE_RIGHTJOB.

Software Engineer

India

Qualifications

You will have…

  • 5+ years of SQL development experience
  • 5+ years of analytics/data product development experience required
  • 3+ years of Google cloud experience with solutions designed and implemented at production scale
  • Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, Dataflow, Dataproc, etc
  • 2+ Experience working with Airflow for scheduling and orchestration of data pipelines
  • 1+ Experience working with Terraform to provision Infrastructure as Code
  • 3 + years professional development experience in Python
  • In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
  • Experience with development eco-system such as Tekton/Cloud Build, Git

Even better, you may have...

  • In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
  • Experience in working with DBT/Dataform

  • 5+ years of SQL development experience
  • 5+ years of analytics/data product development experience required
  • 3+ years of Google cloud experience with solutions designed and implemented at production scale
  • Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, Dataflow, Dataproc, etc
  • 2+ Experience working with Airflow for scheduling and orchestration of data pipelines
  • 1+ Experience working with Terraform to provision Infrastructure as Code
  • 3 + years professional development experience in Python
  • In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
  • Experience with development eco-system such as Tekton/Cloud Build, Git


Responsibilities

What you’ll do….

  • You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise Securitization Solution
  • Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must
  • Work in collaborative environment that leverages paired programming
  • Work on a small agile team to deliver curated data products
  • Work effectively with product owners, data champions and other technical experts
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
  • Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles
  • Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies

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