Work Location: Remote (India)
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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
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
Master's 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
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