Big Data Engineer

PwC PricewaterhouseCoopers GmbH

Prague, Czech Republic
Fair salary + pyid overtime; 20 + 5 days pyid leav...
Advanced python and pyspark knowledge
Experience with databricks platform
Understanding of apache spark and distributed systems
The role involves designing, developing, and deploying data pipelines within a Databricks/Spark environment to help clients make better business decisions

Job Summary

  • The role involves designing, developing, and deploying data pipelines within a Databricks/Spark environment to help clients make better business decisions.
  • Candidates will work in an agile team focused on Big Data, Data Science, and Analytics across the Czech Republic and globally.
  • The company offers competitive compensation including paid overtime, flexible working hours, and extensive professional development opportunities.

Matching Summary

The role involves designing, developing, and deploying data pipelines within a Databricks/Spark environment to help clients make better business decisions.

Salary

Fair salary plus paid overtime; 20 + 5 days paid leave; 3 wellbeing days and 2 extra days off at year end

Skills & Requirements

Must-have

  • Advanced Python and PySpark knowledge
  • Experience with Databricks platform
  • Understanding of Apache Spark and distributed systems
  • Proficiency in relational databases and PL/SQL
  • Cloud platform experience (Azure, AWS, or GCP)
  • Object-oriented programming principles
  • Data warehouse architecture knowledge

Nice-to-have

  • Apache Kafka streaming experience
  • Great Expectations for data quality control
  • Oracle DB development expertise
  • Complex Big Data scenario tuning
  • Cross-functional team collaboration skills

Key Requirements

  • Fluent Czech language required
  • Conversational English proficiency
  • Experience with DWH and ODS data models

Work Rights

Not specified

Tailored Resume

Cover Letter