Data Architect for Scalable Infrastructure

2 weeks ago


Remote, Czech Republic beBeeData Full time 900,000 - 1,200,000

Job Opportunity: Data Engineer for Scalable Infrastructure

  • Key Responsibilities:
  • Create robust data pipeline architecture.
  • Assemble complex datasets meeting business requirements.
  • Implement process improvements by automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability.
  • Develop CI/CD pipelines using GitLab and DataOps best practices.
  • Design and implement data transformations using dbt, including scripting and complex algorithms.
  • Automate and simplify processes using Bash, Docker, Python, GitLab, and JIRA.
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and key business metrics.
  • Collaborate with stakeholders to address data-related technical issues and support their data infrastructure needs.
  • Ensure data security and compliance across national boundaries through multiple data centers and AWS regions.

Requirements:

  • Proficient in Python programming language.
  • Strong expertise in AWS services, including S3, Step Functions, Lambda, Fargate, Glue, and RDS.
  • Experience with ETL processes, data modeling, transformation, and CI/CD best practices.
  • Familiarity with dbt, GitLab, Docker, Bash, and agile development tools like JIRA.

Expected Qualifications:

  • Strong understanding of data engineering principles and best practices.
  • Experience in designing and implementing scalable data pipelines.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively with cross-functional teams.
  • Strong communication and project management skills.


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