- 5+ years of software engineering experience with a focus on backend and/or data systems
- Strong proficiency in Python for backend development and data pipeline work
- Experience with relational databases (PostgreSQL, Azure SQL) — schema design, query optimization, indexing
- Experience with NoSQL databases (MongoDB, Azure Cosmos DB) — data modeling, aggregation, performance tuning
- Hands-on experience with cloud data platforms and pipeline development (Azure preferred; GCP/AWS considered)
- Understanding of event-driven architecture — messaging systems, pub/sub patterns, stream processing
- Experience with Azure services including one or more of: Event Hub, IoT Hub, Data Lake Gen2, Synapse Analytics, Data Factory, Azure Functions, Cosmos DB
- Familiarity with containerization (Docker) and orchestration (Kubernetes / AKS)
- Understanding of distributed systems concepts — partitioning, replication, consistency trade-offs
- Experience with CI/CD pipelines and agile/scrum development practices
- Strong fundamentals in data structures, algorithms, and system design
- Preferred
- Experience with Azure IoT Hub and real-time telemetry / IoT data pipelines
- Experience with Apache Airflow for pipeline orchestration
- Familiarity with dbt or similar ELT transformation tools
- Experience with Azure Data Explorer (ADX) / Kusto Query Language (KQL)
- Knowledge of Kotlin for backend service development
- Experience with Snowflake or other cloud data warehousing platforms
- Familiarity with streaming frameworks (Spark Structured Streaming, Azure Stream Analytics)
- Prior experience in retail, supply chain, or large-scale e-commerce systems
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