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About the role
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 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
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