Senior Data Consultant responsible for optimizing data solutions and managing ETL pipelines. Working with advanced data engineering tools in a hybrid setup for GFT Poland.
Responsibilities
Performance tuning and optimization of existing solutions
Building and maintaining ETL pipelines
Implementing tools and processes to support data-related projects
Designing, building, testing and deploying Cloud and on-premise data models and transformations
Optimizing data views for specific visualization use cases
Reviewing and refining business and technical requirements
Onboarding new data sources and building data pipelines
Requirements
At least 4 years of commercial experience as a Data Engineer
Strong Python and PySpark skills
Strong hands-on experience with SQL and query optimization
Experience with ETL/ELT pipelines development, testing, and management
Strong experience with Hadoop
Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses
Experience with Cloud Data engineering toolset, preferably GCP
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