Описание
Vention is a global engineering partner to tech leaders and fast-growing startups, combining over 20 years of product development expertise with an AI-first approach. The company helps startups and enterprises turn data into smart decisions and better user experiences by building scalable data pipelines and infrastructure.
Задачи
•Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
•Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
•Design and maintain cloud-native data architectures, including Data Lake, Data Warehouse, and Data Lakehouse
•Develop data processing solutions using Spark and PySpark in distributed environments
•Collaborate with cross-functional teams to translate business requirements into efficient, scalable data solutions
•Support analytics use cases by enabling data consumption for reporting, dashboards, and visualization tools
•Stay up to date with modern data platform technologies and best practices, contributing to continuous improvement of the data ecosystem
Требования
•4+ Years of experience in Data Engineering, delivering end-to-end data solutions
•Strong hands-on experience with Python and SQL
•Solid expertise with Apache Spark and PySpark for distributed data processing
•Hands-on experience with AWS, including Glue, S3, Athena, and QuickSight, or Azure, including Data Factory, Databricks, and ADLS
•Good understanding of modern data architectures, including Data Lake, Delta Lake, and Data Warehouse
•Experience working in an Agile environment, such as Scrum or Kanban
•English B2+, comfortable communicating with English-speaking customers
Условия
•Salary from 10000 PLN gross
•Private medical care with LuxMed
•Kafeteria MyBenefit credits for stores, restaurants, and cafés
•Access to a Multisport membership
•Glasses reimbursement program
•Referral bonuses for bringing in new talent
•EDU corporate community with tech communities, interest clubs, events, an R&D lab, a knowledge base, and a dedicated AI track
•Licenses for AI tools, including GitHub Copilot and Cursor
