Resource Bazaar Technologies
Website:
resourcebazaar.com
Job details:
Senior Integration Developer (Data & APIs)
Experience 7 - 10 years
No. of Positions 1
Duration 6-12 months
Location Bengaluru | Noida | Pune | Mumbai | Gurgaon (India)
Work Mode Remote • Contract
Start Date 31 Jul 2026
Primary Skills Integration Development, Data Engineering / Enterprise Integration
Work Location: Remote (India). Candidates should be flexible to work from an EXL office whenever business requires. While
primarily remote, this is not a permanent work-from-home position.
Key Responsibilities / Requirements
Education
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Master's degree is preferred.
Experience
• 7+ years 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 for 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, microservices,
OAuth2/JWT/API security.
Cloud & DevOps
• AWS, Azure, or GCP; 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 & Manufacturing systems, FP&A, forecasting & demand planning, pricing / quote-to-cash, enterprise
data governance, master data management, cross-functional enterprise integrations.
Good to Have
• Building AI/ML data pipelines and feature engineering workflows.
• Exposure to enterprise forecasting platforms and financial planning solutions.
Implementing real-time anomaly detection systems; knowledge of financial close/accounting.
• Cloud certifications (AWS, Azure, or GCP); open-source data engineering contributions.
• Familiarity with IATF 16949 / Quality Management Systems.
• Manufacturing/automotive/semiconductor/industrial domains; MuleSoft, Boomi, or Azure Integration Services;
serverless integrations.
Click on Apply to know more.