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.

·        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