Middle/Senior Data Engineer

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;
ETL/ELT pipelines (Spark/PySpark, dbt);
Data pipeline orchestration (Airflow or cloud-native tools);
Modern DWH/Data Lake solutions (Snowflake, Databricks, Redshift, BigQuery, Synapse);
CI/CD (Git-based and cloud-native tools);
Experience with at least one cloud platform AWS (S3, EC2, RDS, Redshift, Glue, Lambda, CloudWatch), Azure (Azure Data Factory, Databricks, Synapse, Delta Lake), GCP (BigQuery, Cloud Storage, Cloud Functions, Pub/Sub);

Will be a plus:

Streaming frameworks (Kafka, Flink, Pub/Sub, Kinesis);
BI tools (Power BI, Looker, Tableau, Superset);
MLOps (MLflow, ML pipelines);
Containerization & Infrastructure as Code (Docker, Kubernetes, Terraform, AWS CDK);