Senior Data Integration Engineer

Alphanext is a global talent solutions company with offices in London, Pune, and Indore. We connect top-tier technical talent with forward-thinking organizations to drive innovation and transformation through technology. We are seeking a Senior Data Integration Engineer to take charge of designing, building, and governing scalable, high-performance data pipelines across enterprise systems. The ideal candidate will have extensive experience in data engineering and integration, particularly within manufacturing, retail, and supply chain ecosystems. This role plays a crucial part in ensuring near-real-time data flows, robust data quality, and seamless integration among ERP, WMS, commerce, and finance platforms, thereby enabling AI and analytics capabilities throughout the enterprise. Key Responsibilities: - Designing and maintaining ELT/ETL pipelines that integrate systems such as BlueCherry ERP, Manhattan WMS, and Shopify Plus. - Developing event-driven architectures utilizing Azure Service Bus, Kafka, or Event Hubs for real-time data streaming. - Defining and publishing data contracts and schemas (JSON/Avro) in the enterprise Data Catalog to ensure lineage and governance. - Automating reconciliation processes with workflows that detect discrepancies, raise alerts, and monitor data-quality SLAs. - Leading code reviews, establishing integration playbooks, and providing guidance to onshore/offshore engineering teams. - Collaborating with the Cybersecurity team to implement encryption, PII masking, and audit-compliant data flows. - Facilitating AI and analytics pipelines, including feeds for feature stores and streaming ingestion to support demand forecasting and GenAI use cases. Year-One Deliverables: - Replacement of the existing nightly CSV-based exchange between BlueCherry and WMS with a near-real-time event bus integration. - Launching a unified product master API that feeds PLM, OMS, and e-commerce within 6 months. - Automating three-way reconciliation of PO packing list warehouse receipt to support traceability audits (e.g., BCI cotton). - Deployment of a data quality dashboard with rule-based alerts and SLA tracking metrics. Must-Have Technical Skills: - 5+ years of experience in data engineering or integration-focused roles. - Proficiency with at least two of the following: Azure Data Factory, Databricks, Kafka/Event Hubs, DBT, SQL Server, Logic Apps, Python. - Strong SQL skills and experience with a compiled or scripting language (Python, C#, or Java). - Proven track record of integrating ERP, WMS, PLM, or similar retail/manufacturing systems. - Expertise in data modeling, schema design (JSON/Avro), and schema versioning. - Working knowledge of CI/CD pipelines and infrastructure-as-code using tools like GitHub Actions and Azure DevOps. Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field (preferred). - Exceptional problem-solving skills, analytical mindset, and attention to data governance. - Strong communication and leadership abilities, with a history of mentoring and collaborating with teams.,