Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 4


* Project: On-premise migration to Cloud (using Azure Synapse Analytics)
Building Data lakes, Data warehouses architecture, and ETL solutions;
Used Slowly Changed Dimensions technique to build customer profile;
Experience in building ETL processes, understanding how to test them and check data integrity;
Experience with Azure Synapse Analytics, building ETL Pipelines, orchestration, DataMarts and Data Layers;
SQL query optimization;
Azure SQL DWH, Azure SQL managed Instance;

* Project: Teradata to AWS S3 migration
Building Data Pipelines with SQL, Python(PySpark);
Using DBT and Airflow to automate data quality testings;
Configuring Spark Cluster based on the needs;
Validation of data processing processes;
Analysis of the quality of data prepared for ETL and BI systems;
Development of complex SQL queries to various databases to check the quality of data and the results of their processing;
Databricks, Spark
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