Senior Data Engineer

📋 Description

• Design, build, and maintain data infrastructure and pipelines for batch and real-time workloads.
• Build scalable ETL/ELT pipelines using Python, SQL, Spark, Flink, Beam, or equivalents.
• Develop real-time or near-real-time data solutions (CDC, streaming, micro-batch) for timely data.
• Partner with data scientists, ML engineers, analysts to define data requirements and SLAs.
• Establish data quality, validation, observability, and monitoring frameworks.
• Investigate production issues: root cause analysis, bottlenecks, data integrity, fault tolerance.

🎯 Requirements

• 5+ years of data engineering experience.
• Strong ETL/ELT design, implementation, optimization.
• Deep Python and SQL production-grade coding skills.
• Experience with data warehouses (Databricks/BigQuery/Snowflake) and streaming (Kafka/Kinesis/Flink).
• Orchestration (Airflow) and data governance, lineage, and quality practices.
• Crypto/financial services or blockchain/Web3 data experience; Databricks on AWS.

🎁 Benefits

• Discretionary annual bonus
• Long-term equity grant for new hires
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off