We are looking for a Senior Data Engineer to join our Data team and help design, build, and maintain high-throughput, scalable data pipelines and streaming infrastructure. The ideal candidate brings deep hands-on experience with modern data stack technologies and can operate independently in a fast-paced environment.

Responsibilities:

• Design and implement high-throughput, fault-tolerant streaming and batch data pipelines
• Build and maintain event-driven architectures using Apache Kafka and Apache Flink
• Develop and manage workflow orchestration using Apache Airflow
• Work with Data Lakehouse architectures (experience with Apache Iceberg)
• Strong SQL development and performance tuning skills (experience with Oracle databases)
• Collaborate with cross-functional teams to define data contracts and schema standards
• Ensure data quality, observability, and reliability across the data platform
• Contribute to architectural decisions and mentor junior engineers

 Qualification:

• 5+ years of professional experience in Data Engineering or a related field
• Strong proficiency in Python / Apache Flink for data pipeline development
• Hands-on experience with Apache Kafka (producers, consumers, Kafka Streams or ksqlDB)
• Proficiency with Apache Airflow for pipeline orchestration
• Experience with Data Lakehouse formats and tooling (Apache Iceberg preferred)
• Strong SQL skills; experience with Oracle databases is a plus
• Experience designing high-throughput, scalable data systems
• Solid understanding of data modeling, partitioning strategies, and storage optimization

NICE TO HAVE

• Experience with Spark, Trino/Presto, dbt
• Knowledge of data governance and data catalog tools

Benefits:

• Work from home option
• Flexible working hours
• Training courses and professional development opportunities
• Military service project (Limited)
• Supplemental health insurance
• Team-building budget
• Performance-based bonuses
• Loans
• Lunch subsidies