Middle/Senior Data Engineer
Listed on 2026-07-16
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, AWS, Data Warehousing
The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.
Requirements:4–5+ years of commercial experience as a Data Engineer;
Proficiency in Python and SQL;
Data pipeline orchestration (Airflow or cloud-native tools);
Modern DWH/Data Lake solutions (Snowflake, Databricks, Redshift, Big Query, Synapse);
CI/CD (Git-based and cloud-native tools);
Experience with at least one cloud platform AWS (S3, EC2, RDS, Redshift, Glue, Lambda, Cloud Watch), Azure (Azure Data Factory, Databricks, Synapse, Delta Lake), GCP (Big Query, Cloud Storage, Cloud Functions, Pub/Sub);
Will be a plus:BI tools (Power BI, Looker, Tableau, Superset);
Containerization & Infrastructure as Code (Docker, Kubernetes, Terraform, AWS CDK);
Responsibilities:Design and build scalable ETL/ELT pipelines;
Optimize data processing workflows and automate key processes;
Develop and maintain data models for analytics and reporting;
Integrate new data sources and ensure data quality;
Monitor and troubleshoot data pipeline performance;
Collaborate with data analysts, engineers, and business stakeholders;
Contribute to architecture decisions and infrastructure improvements;
Support continuous improvement through CI/CD and Dev Ops best practices.
Benefits:- Covered vacation period: 20 business days and 5 days off
- Free English classes
- Truly friendly and supporting atmosphere
- Working remotely or in one of our offices
- Medical insurance for employees from Ukraine
- Legal support
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