Senior Data Engineer

About the role

We are looking for a Senior Data Engineer to mature our lakehouse architecture and take ownership of critical systems. You will work across the full pipeline—from high‑throughput streaming ingestion to Iceberg table design on S3 and curated Redshift models that power reporting.

Key responsibilities

• Design, build, and operate streaming data pipelines (Kinesis, Firehose) handling high‑volume ad network event traffic.
• Own and evolve the S3 + Iceberg raw data layer, including table design, partitioning, compaction, schema evolution and cost/performance tuning.
• Build and maintain curated aggregate and fact tables in Redshift for reporting and analytics.
• Contribute to Kotlin‑based event registration and streaming applications.
• Improve reliability, observability and data quality across the pipeline (monitoring, alerting, testing, backfills).
• Make architectural recommendations for scaling the lakehouse, including table formats, ingestion patterns and cost optimization.
• Partner with analysts to ensure the curated layer meets reporting needs.
• Mentor other engineers and elevate data‑engineering practices.

Required profile

• 5+ years of data engineering experience on high‑volume/high‑throughput systems.
• Strong JVM experience (Java and/or Kotlin); Kotlin experience strongly preferred.
• Hands‑on experience with streaming/event ingestion technologies (Kinesis, Kafka, Firehose or similar).
• Experience with modern table formats on object storage (Iceberg, Delta Lake, Hudi) including schema evolution and partitioning.
• Solid SQL skills and experience building data warehouse models (Redshift, Snowflake, BigQuery or similar).
• Proficiency in Python for pipeline tooling and automation.
• Experience building and operating pipelines with Apache Airflow.
• Comfort operating in AWS (S3, IAM, Kinesis, Firehose, Redshift).
• Track record of owning production systems with monitoring, failure handling and cost awareness.

Required skills

• Java
• Kotlin
• Kinesis
• Kafka
• Firehose
• Apache Iceberg
• Delta Lake
• Hudi
• SQL
• Redshift
• Snowflake
• BigQuery
• Python
• Apache Airflow
• AWS (S3, IAM)

What we offer

• Payment in USD
• Truly flexible work schedule
• Non‑Working Pay Days policy
• Learning budget
• Opportunity to influence industry change