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
Roles & Responsibilities
Design, develop, and maintain scalable backend services and data pipelines on Azure cloud infrastructure
Build and operate real-time event-driven systems using Azure Event Hub and Azure IoT Hub
Design and implement data lake architectures on Azure Data Lake Storage Gen2 with medallion (bronze/silver/gold) layering
Develop data ingestion, transformation, and orchestration pipelines using Azure Data Factory and Apache Airflow
Work with Azure Synapse Analytics for large-scale analytical workloads and query optimization
Design schema and data models for both relational (Azure SQL, PostgreSQL) and NoSQL (Azure Cosmos DB) databases
Build and optimize APIs and backend services using Python (FastAPI / Django) and/or Kotlin/Java
Implement event-driven microservices and distributed systems at retail scale
Collaborate with data scientists, product managers, and cross-functional engineering teams
Participate in system design reviews and contribute to architectural decisions
Write clean, testable, production-grade code following CI/CD and DevOps best practices
Mentor junior engineers and contribute to team knowledge-sharing
