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Senior Data Engineer
  • Warsaw
Senior Data Engineer
Warszawa, Warsaw, Masovian Voivodeship, Polska
Limango Polska
30. 5. 2024
Informacje o stanowisku

Senior Data Engineer @ Limango

Remote/Wroclaw

B2B contract – daily rate 900-1250pln


Your role and main tasks

  • Development of Central Lakehouse Data Platform based on AWS / Databricks ecosystem
  • Managing data infrastructure (Terraform AWS / Databricks) and ETL code (PySpark, Delta Live Tables, SparkSQL)
  • Implementing monitoring, data quality tests, unit testing for code, and automated alerts into the system
  • Refactoring legacy AWS solutions (AWS Glue, Redshift) into monitored and CI/CD deployed Lakehouse ecosystem with data expectations / data quality testing
  • Active support for building medallion lakehouse architecture for ML and analytics data and introducing data-mesh concepts
  • Active support for business analytics and ML teams working on the data platform

You will need

  • degree in Information Systems, Computer Science, Mathematics/Physics, Engineering, or a related field
  • several years of experience building data engineering solutions (ideally in E-commerce)
  • very good knowledge of Python programming (building applications, automated testing, packaging and deployment) 
  • real experience with PySpark data processing and good understanding of Spark processing engine architecture
  • Advanced SQL processing skills
  • experience with data lakes architecture and data modelling paradigms
  • experience with Terraform infrastructure-as-code and CI/CD deployments
  • experience with building and deploying data engineering ETL applications – CI/CD pipelines in git environments 
  • Fluency in English – we work in an international environment
  • Team player attitude and willingness to learn modern technologies / frameworks


Nice-to-have

  • Familiarity with AWS Cloud architecture and Databricks platform will be very welcomed
  • Experience with AWS Glue and Redshift warehousing
  • Experience with CloudFormation templates
  • Experience with AWS Kinesis and Spark streaming processing
  • Good knowledge of Scala coding, functional programming and application development  
  • Experience with MLOps environments (e.g., MLFlow)  


Benefits:

  • Access to private healthcare, ensuring the well-being of you and your loved ones.
  • Language classes in English and German, tailored to your skill level.
  • Remote work opportunities and flexible working hours to accommodate your schedule.
  • Co-finance of Multi-sport card
  • Office located in the vibrant center of Wrocław, with nearby amenities including cinemas, fitness clubs, and a variety of lunch options.
  • After hours we often organize interesting outings or meetings in our office or near by J

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


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