Job
Core
Design, build, and maintain scalable data pipelines for the Bronze and Silver layers of a data platform, supporting analytics, marketing, and backend teams.
Role type
Senior Data Engineer (Data Platform)
Builds
Batch and streaming data pipelines, data lake/warehouse models, and data quality monitoring.
Domain
Gaming industry, data engineering, distributed systems.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python, Spark/PySpark (streaming), ETL/ELT pipeline design, data lake/warehouse architecture, Delta tables, Parquet, S3, orchestration (Airflow), Kafka, observability, data quality practices.
Preferred skills
Experience with data contracts, performance optimization of Spark jobs, collaboration with cross-functional teams.
Technologies
Spark, PySpark, Kafka, Airflow, Delta, Parquet, S3, dbt.
Responsibilities
Design and develop batch and streaming data pipelines; Build and maintain data ingestion from internal and external sources; Develop and evolve data lake / data warehouse models; Optimize performance of Spark-based data processing jobs; Develop and maintain dbt models and data contracts; Implement and support monitoring, observability, and data quality checks.
Seniority
Senior, hands-on IC
