Description :

- Hands-on experience in data engineering and distributed systems

- Experience with AI-assisted coding tools (Claude Code, GitHub Copilot, Cursor AI)

- Strong expertise in ClickHouse for analytics, including data modeling, partitioning, indexing, and query optimization.

- Proven ability to design and manage denormalized OLAP datasets to support BI and reporting workloads.

- Solid understanding of ETL/ELT pipelines and experience with tools such as Airbyte, DBT, Airflow or Python-based transformations.

- Proficiency in SQL (advanced queries, performance tuning, window functions, aggregations).

- Hands-on experience working with reporting/visualization frameworks (e.g., amCharts or similar libraries).

- Strong foundation in data quality, governance, and validation to ensure reliable analytics.

- Strong knowledge of real-time data streaming (Kafka, Spark)

- Experience with relational and analytical databases (Postgres, ClickHouse, Elasticsearch)

- Exposure to ML model integration, MLOps is a strong plus

- Strong problem-solving, debugging, and cross-team collaboration skills