InfoVision Inc.
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• 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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