Design and build scalable batch and streaming data pipelines.
Develop and optimize ETL/ELT workflows using distributed data processing frameworks.
Own and optimize ClickHouse clusters for large-scale analytical workloads.
Design efficient data models for reporting and dashboarding use cases.
Build and maintain data ingestion pipelines from MongoDB, PostgreSQL, Kafka, APIs, and other data sources.
Improve performance of large SQL workloads and analytical queries.

🎯 Requirements

3+ years of experience in Data Engineering.
Strong SQL skills with expertise in query optimization.
Experience with ClickHouse or other OLAP databases (BigQuery, Redshift, Snowflake, Druid, Pinot, etc.).
Strong knowledge of PostgreSQL.
Experience building ETL/ELT pipelines.
Proficiency in Java or Python.

🎁 Benefits

Competitive salary
Strong insurance package
Learning and development resources

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