Data Engineer (Backend + Data Warehousing)

Responsibilities
-Build and maintain backend services in Golang for data ingestion, APIs, and integrations.
-Develop and optimize ETL/ELT pipelines to process large volumes of data daily.
-Write efficient SQL queries and optimize performance for cost and speed.
-Design schemas with proper partitioning and clustering for analytics workloads.
-Support deployment and maintenance of data warehouse / OLAP clusters (e.g., BigQuery, StarRocks).
-Collaborate with senior engineers and architects to implement best practices.
-Contribute to monitoring and alerting setups for pipelines and workloads.

Requirements
-2–4 years of professional software development experience.
-Hands-on experience with Golang backend development.
-Proficiency in SQL and query optimization.
-Familiarity with at least one cloud data warehouse / OLAP platform (e.g., BigQuery, StarRocks, Snowflake, Redshift, ClickHouse).
-Knowledge of ETL/ELT tools (Airflow, dbt, or custom pipelines).
-Basic cloud experience (GCP, AWS, or Azure).