Business Intelligence Engineer

We are looking for a Mid-level Data Engineer to work closely with the platform architect to build and scale a data platform from the ground up.

In this role:

• The architecture and high-level design are defined by the Lead.
• You are responsible for implementing, refining, and operating data pipelines in detail.

This is a hands-on engineering role, not analytics-only, not dashboard-focused.

Responsibilities

• Implement and maintain data pipelines end-to-end (raw → standardized → curated).
• Write production-grade Python + SQL for ETL/ELT (batch-first, incremental when needed).
• Handle schema changes, edge cases, retries, logging, and pipeline reliability.
• Optimize for correctness, performance, and cost.
• Work closely with the Lead (architecture provided) — you execute the details.

Requirements

• Strong Python (clean code, data processing, error handling, testing mindset).
• Strong SQL (transformations + validation)
• Solid understanding of pipeline patterns (full vs incremental, idempotency, partitioning/batching).
• Experience with data warehouse / OLAP (e.g., ClickHouse, BigQuery, Snowflake, etc.).
• Comfortable with Linux + cloud work.
• 2 -3 years experiences in Data Engineer
• Basic English

Nice to Have

• GCP experience (GCS/BigQuery) or similar cloud. (google cloud platform)
• Orchestration tools (Prefect / Airflow).
• Parquet + data lake practices.