Must-Have

• Proficiency in Java, Python, and SQL; strong software engineering fundamentals
• Experience with distributed messaging systems (e.g., Apache Kafka) and stream processing frameworks (e.g., Apache Flink)
• Knowledge of event-time processing, windowing, state management, and handling out-of-order events
• Experience with cloud storage/data lakes, relational databases, and search/indexing engines (e.g., OpenSearch / Elasticsearch)
• Familiarity with cloud platforms (AWS preferred), IaC (Terraform), CI/CD, and containerization (Docker)
• Strong problem-solving skills and ability to design scalable, fault-tolerant data pipelines

Nice-to-Have

• Experience with workflow orchestration platforms
• Experience in security, log processing, or observability domains
• Schema management tools (Avro, Protobuf, Schema Registry)
• Data lake table formats (Iceberg, Hudi, Delta Lake)
• Experience with distributed query engines (Athena, Trino, Presto)
• Multi-tenant system design
• Cost optimization in large-scale cloud environments

Soft Skills

• Strong problem-solving and debugging skills in distributed systems
• Ownership mindset with attention to reliability and quality
• Clear communication and documentation skills
• Ability to work cross-functionally
• Comfort working in fast-paced environments

Qualifications

• Bachelor’s degree in Computer Science or equivalent experience.
• 7+ years of experience in data engineering or distributed systems
• Strong fundamentals in system design and scalability
• Proven experience operating production-grade data platforms
• Ability to balance performance, cost, and reliability