Data Engineer


Data Engineer.

Data Engineer, Full Time



  • Implement new ETLs for data collection from internal systems into GCP
  • Help evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale
  • Work within and across agile teams to design, develop, test, implement, and support technical solutions across a full-stack of cloud development tools and technologies
  • Create monitoring and alerting solutions for data pipeline statuses
  • Implement specific Google Cloud data security and governance controls
  • Maintain access controls for the data lake and associated Google Cloud products
  • Ensure quality of the solutions are robust, scalable and efficient to meet the needs of the business


  • Strong programming skills preferably in Python
  • Experience supporting production cloud environments
  • Strong understanding of IAM and cloud-based access and security controls
  • Familiarity with ETL pipeline orchestration frameworks, such as Luigi or Airflow
  • Experience with data processing and storage frameworks like Apache Beam, BigQuery, BigTable, Redshift, Kinesis, etc.
  • Experience with log management and monitoring tools, including tools within Amazon Web Services and Google Cloud Platform as well as open source and third-party monitoring tools.
  • Experience in managing projects and infrastructure for cloud-based platforms (security, authentication, monitoring, data governance)
  • Experience working with containers and container services is also a significant plus

How to Apply

Please send your resume to

Consider the below given points while applying

  • Resume in MS Word or PDF format as an attachment to the email.
  • Subject of the email mentioning the job you are applying for.

Apply for this position

Allowed Type(s): .pdf, .doc, .docx