Remote Senior Data Engineer - Data Platform

Description:

• Architect a scalable lakehouse by migrating workloads to Apache Iceberg.
• Develop a Jobs API, build Spark/Flink pipelines, and establish data contracts.
• Collaborate with Backend Engineering on API integrations and data governance.
• Support the Core Team in adopting new data platform capabilities.

Requirements:

• Proficiency in Python and PySpark.
• Experience with data lake formats (Iceberg, Delta Lake, Hudi).
• Understanding of Kafka and event-driven architectures.
• Experience in building and orchestrating data pipelines at scale.
• Strong SQL proficiency and data modeling knowledge.
• Familiarity with workflow orchestration tools (Airflow, Dagster).
• Ownership mentality and clear communication skills.
• Highly collaborative and pragmatic approach.
• Bonus: Expertise with Flink or similar streaming frameworks.
• Bonus: Proficiency in DBT and modern data platforms (BigQuery, Snowflake).

Benefits:

• Stimulating, fast-paced environment with creativity.
• Competitive salary and career development opportunities.
• Flexible remote work with unlimited vacation.
• Access to health and well-being programs.
• Health, dental, and vision insurance, meal allowance, equity shares.