Full-time, Remote
Data Engineer with Python/Databricks
UPD: This position is closed.

  • 8+ years of IT experience incl. 4+ y. of extensive experience in designing & building Data Engineering solutions using Azure Data Services
  • Designing and building End to End data engineering solution using Python, Databricks, ADF, Synapse, SQL
  • Designing & Building Data Ingestion & Transformation pipelines for big scale datasets coming from multiple int/ext source systems
  • Designing and developing data models, extracting, and cleansing data that utilize data quality, cleansing & transformation functions
  • Have modelled Data Layer on top of Data Lake as per Analytics and Reporting use cases
  • Knowledge of handling large data sets and experience with performance tuning of data engineering process during data extraction & transformation
  • Experience of working with, and being able to peer review, data engineering pipelines (data bricks, python, synapse), automation technologies and platform engineering
  • CI-CD process using Azure DevOps
  • Experience and desire to work in a Global delivery environment with team spread across different locations
  • Ability to communicate complex tech solutions to diverse teams namely, technical, business and management teams
  • Experience managing team size of 6 to 8 people for building and operating ingestion and transformation pipelines in DevOps environment
  • Comfortable working in Agile-model and good understanding of data testing approach

Agile, Azure DevOps, Microsoft Azure, Python, SQL

EU, Georgia, Asia, Ukraine, South America
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