Senior Data Architect

1 week ago

Remote Kraków Białystok Wrocław, Czech Republic beBeeDataEngineering Full time

We are seeking a seasoned professional to drive innovation in data engineering and big data processing. This key role requires expertise in designing and implementing scalable architectures, flexible data preprocessing pipelines, and comprehensive data management frameworks.

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  • PhD or master's degree in computer science, Data Science, AI, or related field
  • 5+ years of professional experience in Data Engineering and Big Data
  • Proven experience in implementing and deploying solutions in AWS using AWS stack (Redshift, Kinesis, Athena)
  • Proven experience with AWS Data Processing (Glue, EMR)
  • Experience with Data Pipelines Orchestration (Airflow, Prefect)
  • Experience with Big Data & Distributed Processing (Hadoop, Spark)
  • Proven experience in designing and implementing data governance and data management frameworks
  • Expert-level knowledge of Python
  • Automotive or IoT data processing experience
  • Strong problem-solving skills and independent work ethic
  • Fluency in English, both written and spoken

Job Responsibilities:

  • Implement scalable architecture capable of handling high volume of simulation data
  • Build flexible data preprocessing pipelines that are extensible and integratable into customers existing platform
  • Define KPIs to measure improved reusability and automation of new pipelines and test their performance in end-to-end setting with model training
  • Develop and implement processes and best practices for data management and governance
  • Optimize and enhance system setup and improve data structures following industry best practices
  • Collaborate effectively with data engineering team members while partnering closely with analytics and data science teams to meet user needs

Requirements:

  • Python
  • SQL
  • AWS
  • S3
  • Glue
  • Redshift
  • Kinesis
  • Athena
  • Big data
  • Distributed computing
  • Hadoop
  • Spark
  • Data pipelines
  • Data engineering
  • Airflow
  • Prefect
  • Terraform
  • CloudFormation
  • Kubernetes
  • Databricks
  • Snowflake
  • Machine learning
  • MLOps

Benefits:

  • Sport subscription
  • Private healthcare
  • Flat structure
  • International projects
  • Training budget
  • Small teams
  • English lessons
  • German lessons
  • Internal tech talks
  • Integration events
  • Internal trainings
  • Free coffee
  • Bike parking
  • Playroom
  • Shower
  • Free snacks
  • Free parking
  • In-house trainings
  • Modern office
  • Startup atmosphere
  • No dress code
  • In-house hack days
  • Free beverages

Work Environment:

Our company provides an open, collaborative environment where professionals can thrive.

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