Senior Data Engineer
Almaty
Full-time
Full-time
Main requirements
At least 3 years of experience as a Senior Data Engineer.
Excellent knowledge of SQL, PostgreSQL and ClickHouse.
Experience in developing ETL/ELT pipelines using Apache Airflow.
Experience working with dbt (models, macros, testing).
Good command of Python (pandas, requests, sqlalchemy).
Experience integrating with the REST API.
Understanding the DWH architecture, ETL, and OLAP/OLTP principles.
Experience working with Kafka, Kubernetes, S3 and NoSQL.
Knowledge of CI/CD and automation tools (Terraform, Helm).
It will be an advantage:
Experience working with Kafka Connect, Spark Streaming or Flink.
Experience working with AWS, Azure, or GCP.
Prometheus, Grafana, and ELK customization skills.
Experience working with BI tools (Superset, Metabase, Tableau).
Participation in Data Governance and Data Observability projects
What you will do
To develop and maintain the company's Data Platform architecture.
Develop and optimize ETL/ELT pipelines on Apache Airflow.
Design data models and develop DWH using dbt.
Work with PostgreSQL, ClickHouse, NoSQL and S3 Data Lake.
Configure streaming data processing via Apache Kafka.
Automate infrastructure using Kubernetes, Terraform, and Helm.
Ensure data quality, reliability, and monitoring.
Conduct a code review, implement engineering practices, and mentor the team.
Interact with analysts, developers, and Data Scientists.
What we offer
Competitive salary (discussed at the interview).
A high level of autonomy and a minimum of bureaucracy.
Interesting projects and challenging technical tasks.
The opportunity for professional growth and development.
Compensation for participation in specialized conferences.
A comfortable modern office with its own kitchen.
Official employment and timely payment of wages.
Opening hours: 5/2, from 08:00 to 17:00 (lunch from 12:00 to 13:00).
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