
Software Integrations Developer
Posted Oct 12

Posted Oct 12
This is a fully remote position, open to applicants in India.
• Design and execute comprehensive batch and streaming data pipelines utilizing Azure Data Factory / Synapse Pipelines and Databricks.
• Create scalable ETL/ELT workflows with PySpark, SQL, and Databricks notebooks.
• Develop and enhance ingestion frameworks for both structured and unstructured data.
• Lead the design of Databricks-based lakehouse architecture employing Delta Lake along with bronze, silver, and gold data layers.
• Optimize Spark jobs through methods such as partitioning, caching, and cluster tuning.
• Implement data versioning and incremental processing while ensuring data quality, consistency, and governance.
• Build secure and scalable solutions using Azure Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault.
• Design, construct, and maintain integrations utilizing Azure Functions, Logic Apps, Service Bus, and Event Grid.
• Connect business applications, SaaS platforms, and external services to the data platform.
• Develop and expose secure, documented REST APIs and event-driven endpoints via Azure API Management.
• Implement publishing, versioning, throttling, and authentication for APIs.
• Employ event-driven and near-real-time messaging patterns using Event Hub, Event Grid, and Service Bus.
• Monitor and enhance data workflows for reliability, performance, and cost efficiency.
• Manage code repositories, CI/CD pipelines, and deployments through Azure DevOps.
• Maintain technical documentation and adhere to governance best practices.
• Collaborate with business stakeholders and technical teams to convert requirements into scalable data solutions.
• Provide technical leadership.
• Deliver dependable Azure integration architectures aimed at achieving 99.9% uptime, optimized throughput, minimal technical debt, comprehensive documentation, security governance, and seamless data flow.
• Over 5 years of experience in Data Engineering / Data Platform development.
• More than 3 years of practical experience with Azure Databricks.
• Strong expertise in Azure Data Factory, ADLS Gen2, and Synapse Analytics.
• Demonstrated ability to construct enterprise-scale data pipelines.
• Practical experience in building application and API integrations utilizing Azure Functions, Logic Apps, and Azure API Management.
• Experience in Agile/Scrum settings and the full SDLC lifecycle.
• Strong skills in Python (PySpark) and SQL.
• Familiarity with Databricks notebooks for scalable data processing and transformation logic.
• In-depth knowledge of ETL/ELT design patterns, Slowly Changing Dimensions (SCD), medallion architecture, and data modeling for analytics.
• Expert-level experience with Azure Data Factory / Synapse Pipelines, Azure Data Lake Storage, and Azure Databricks including Delta Lake.
• Hands-on experience with Azure Functions, Logic Apps, Service Bus / Event Grid, and Azure API Management.
• Experience in designing REST APIs and implementing secure authentication using OAuth 2.0 / managed identities.
• Advanced hands-on experience with Spark optimization, cluster management, job orchestration, and performance tuning in Databricks.
• Familiarity with streaming technologies, Microsoft Fabric, CI/CD for data platforms, or Power BI is a significant advantage.
• Design-first and quality-oriented mindset.
• Comfortable navigating ambiguity and evolving requirements.
• Strong communicator capable of explaining technical concepts to non-technical audiences.
• Proactive, collaborative, and oriented towards continuous improvement.
• Strong sense of urgency and ownership.
• Opportunity to lead and influence the organization's modern data platform strategy.
• High-impact data initiatives that drive analytics, AI, and digital transformation programs.
• Significant executive visibility.
• Meaningful ownership and technical challenges.
• Long-term growth opportunities.
• Opportunity to establish best practices within the OneGP model.
• Opportunity to work with cutting-edge Microsoft technologies, including Power Platform, Azure integrations, and emerging AI and Copilot capabilities.
DSV - Global Transport and Logistics
DSV - Global Transport and Logistics
DSV - Global Transport and Logistics
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