Senior Integration Developer (Data & APIs)

Skills Required Primary Skills Integration DevelopmentData Engineeringor Enterprise Integration Job Description Work Location: Remote (India) Candidates should be flexible to work from an EXL office whenever business requires. While the role is primarily remote, it is not a permanent work-from-home position . Required Qualifications Education Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline. Masters degree is preferred. Experience 7+ years of experience in Integration Development, Data Engineering, or Enterprise Integration. 4+ years designing and implementing enterprise ETL/ELT platforms. Hands-on experience integrating ERP, EPM, Manufacturing, or Supply Chain systems. Proven experience building scalable, production-grade integration platforms supporting high-volume enterprise data. Experience with enterprise API development and microservices architecture. Demonstrated success delivering highly available production systems with 99%+ uptime. Technical Skills Data Integration & ETL Apache Airflow Talend Informatica dbt Custom ETL frameworks SQL Python Java Scala Data Platforms Snowflake Amazon Redshift Google BigQuery Azure Synapse Analytics Data quality and validation frameworks Streaming & Real-Time Processing Apache Kafka Spark Streaming AWS Kinesis Event-driven architecture Real-time data processing frameworks API & Application Development RESTful APIs GraphQL (preferred) FastAPI Flask Spring Boot (preferred) API Gateway implementation Microservices architecture OAuth2, JWT, API Security Cloud & DevOps AWS, Azure, or Google Cloud Platform Docker Kubernetes CI/CD pipelines Infrastructure as Code Git DevOps best practices Databases PostgreSQL MongoDB Spark ecosystem Hadoop ecosystem Vector Databases (Pinecone, FAISS, Weaviate, Milvus) Domain Knowledge Supply Chain and Manufacturing systems Financial Planning & Analysis (FP&A) Forecasting and Demand Planning Pricing and Quote-to-Cash processes Enterprise Data Governance Master Data Management Cross-functional enterprise integrations Soft Skills Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Ability to explain complex technical concepts to business users. Strong ownership with a proactive and solution-oriented mindset. Ability to manage multiple priorities in a fast-paced environment. Collaborative team player with strong documentation skills. Preferred Qualifications Experience building AI/ML data pipelines and feature engineering workflows. Exposure to enterprise forecasting platforms and financial planning solutions. Experience implementing real-time anomaly detection systems. Knowledge of financial close and accounting processes. Cloud certifications (AWS, Azure, or GCP). Experience contributing to open-source data engineering projects. Familiarity with IATF 16949 or Quality Management Systems. Nice to Have Experience working in manufacturing, automotive, semiconductor, or industrial domains. Exposure to AI-driven forecasting and predictive analytics platforms. Knowledge of enterprise integration platforms such as MuleSoft, Boomi, or Azure Integration Services. Experience with event-driven architecture and serverless integrations Apply with Your Bench Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.