Position: Senior Data Engineer
Company: Perfectial
Category: Data Science
Experience required: 3y
English level: intermediate

We at Perfectial are looking for a qualified Engineer to join to our team, working on the creation of a platform for research and information management.
For M&A business development, the project provides research and information management systems that incorporate thousands of online sources from trade show exhibitor lists to industry buyers' guides. It is working 24/7 to ensure accurate and current data for prospecting investment opportunities. The project's sourcing data and prospecting tools promise to save time and increase deal flow.

Requirements: 
	• 5+ years experience on large volume data engineering with complex transformations  and comfortable with various data refresh, sourcing and loading/presentation patterns. 
	•  Knowledge of parallel processing and multi-threaded data processing architectures and patterns.
	• Knowledge of container deployment architectures - Docker, Kubernetes.
	• Database modeling and development experience - AzureSQL, Postgres, Hive, SparkSQL. 
	• Understanding of complex analytic SQL including partition and window functions.
	• Ability to take a data engineering project from high-level design to implementation