Senior Data Integration Engineer

About Alphanext
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.

Role Overview
We are looking for a Senior Data Integration Engineer who will lead the design, build, and governance of scalable, high-performance data pipelines across enterprise systems. The ideal candidate brings deep experience in data engineering and integration, especially within manufacturing, retail, and supply chain ecosystems. This role is instrumental in ensuring near-real-time data flows, robust data quality, and seamless integration between ERP, WMS, commerce, and finance platforms, enabling AI and analytics capabilities across the enterprise.

Key Responsibilities

• Design and maintain ELT/ETL pipelines integrating systems like BlueCherry ERP, Manhattan WMS, and Shopify Plus

• Build event-driven architectures using Azure Service Bus, Kafka, or Event Hubs for real-time data streaming

• Define and publish data contracts and schemas (JSON/Avro) in the enterprise Data Catalog to ensure lineage and governance

• Automate reconciliation processes with workflows that detect mismatches, raise alerts, and track data-quality SLAs

• Lead code reviews, establish integration playbooks, and mentor onshore/offshore engineering teams

• Collaborate with the Cybersecurity team to implement encryption, PII masking, and audit-compliant data flows

• Enable AI and analytics pipelines, including feeds for feature stores and streaming ingestion to support demand forecasting and GenAI use cases

Year-One Deliverables

• Replace existing nightly CSV-based exchange between BlueCherry and WMS with a near-real-time event bus integration

• Launch a unified product master API feeding PLM, OMS, and e-commerce within 6 months

• Automate three-way reconciliation of PO packing list warehouse receipt to support traceability audits (e.g., BCI cotton)

• Deploy a data quality dashboard with rule-based alerts and SLA tracking metrics

Must-Have Technical Skills

• 5+ years in data engineering or integration-focused roles

• Experience with at least two of the following: Azure Data Factory, Databricks, Kafka/Event Hubs, DBT, SQL Server, Logic Apps, Python

• Strong SQL proficiency and experience with a compiled or scripting language (Python, C#, or Java)

• Proven experience 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 related field (preferred)

• Excellent problem-solving skills, analytical mindset, and attention to data governance

• Strong communication and leadership skills, with a track record of mentoring and team collaboration