Build and maintain a high-performance data platform connected to product solutions.
Create data pipelines with business logic, aggregations, and data quality checks.
Design data modeling and transformation workflows for clear abstractions.
Own full code lifecycle: deployment, docs, performance, security, metrics.
Investigate data inconsistencies and trace data sources.
Enable self-service data access with well-modeled datasets.

🎯 Requirements

7+ years in Data Engineering roles.
Big Data tech: Spark, Hadoop, Hive, MapReduce; YAML, Python.
Experience with Airflow, Spark, AWS, and Databricks.
Strong software engineering principles for data-centric systems.
Experience with columnar storage and data lakehouse concepts.
Proficiency in Python or other main languages and clean code.

🎁 Benefits

Competitive salary
Profit sharing
Meal allowance
Health insurance
Dental plan
Life insurance

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