Leading Data Pipeline Architect

4 days ago


Remote Warsaw, Czech Republic beBeeDataEngineer Full time 900,000 - 1,500,000
Job Description

We are seeking a seasoned Data Engineer to drive the design, automation, and optimization of our data infrastructure and analytics processes. The ideal candidate will have expertise in building and maintaining data pipelines and analytical models to meet both current and future business needs across multiple functions.

Key Responsibilities:
  • Design and automate optimal data pipeline architecture for efficient data extraction, transformation, and loading (ETL) from various sources using SQL and AWS Big Data technologies.
  • Assemble large, complex datasets that meet functional and non-functional business requirements by leveraging skills in CI/CD pipelines, particularly with GitLab and DataOps.
  • Identify, design, and implement internal process improvements, automating manual tasks, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Develop robust ETL pipelines using dbt (data build tool), including scripting and complex algorithms.
  • Collaborate with stakeholders, including Executive, Product, Data, and Design teams, to resolve data-related issues and support infrastructure needs.
Requirements:
  • Proficiency in Python, AWS, dbt, ETL, GitLab, Bash, Docker, and Jira.
  • Experience in handling sensitive data security across national boundaries and AWS regions.
Benefits:
  • Remote work option with flexible working arrangements.
  • Home office setup available.
Additional Requirements:
  • Ability to work effectively in a remote setting with minimal supervision.


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