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Senior Data Engineer

Roles & Responsibilities

  • Proficiency in Python, Apache Spark, streaming, and big data processing
  • Experience with cloud platforms (Azure, AWS, GCP) and services such as Azure Data Factory, Databricks, Azure Functions, Azure DevOps, AWS serverless, and Amazon Neptune
  • Strong DevOps practices and CI/CD pipelines, including Git version control
  • Experience with GraphQL and data integration architectures

Requirements:

  • Develop and integrate data pipelines from multiple data sources
  • Test and maintain the data platform
  • Facilitate deployment of code to staging and production environments
  • Participate in the architecture of end-to-end solutions

Job description

This is a remote position.

Short Service Description:

 

- Development & integration of pipeline to integrate data from different data sources

- Testing and maintenance of the platform

- Facilitate deployment of code to stage and production environments

- Participation on architecture of end-to-end solutions

- Collaboration on feature deliverables

- Documentation of implemented logic in a structured manner

- Assistance with data-related technical issues and support their data infrastructure optimization

 

Technical knowledge

- Python, Spark, Streaming, Big Data, graphQL, devOps, CICD, git

- Azure cloud - Azure Data Factory, Databricks, Azure Functions, Azure DevOps

- AWS cloud - serverless, Amazon Neptune

- GCP cloud



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