Job Description :
Responsible Area :
Lead design and optimization of data integration architecture, build enterprise ETL/ELT pipelines, manage API & middleware strategy, oversee cloud integration and data governance standards.
Key activities : -
Essential Duties and Responsibilities:
We are looking for a seasoned Senior Data Integration Engineer to lead and govern the architecture and implementation of scalable, resilient, and high-performance integration solutions. The candidate will drive design strategies, provide technical leadership, and coordinate with cross-functional teams to enhance enterprise data integration capabilities.
Work experience:
· 7–10+ years of hands-on experience in data integration, middleware, and enterprise data engineering.
· Strong expertise in ETL/ELT tools like Azure Data Factory, Informatica, Talend, or SAP BODS.
· Experience with iPaaS platforms (e.g., MuleSoft, Boomi, Celigo).
· Deep understanding of API design (REST, SOAP, GraphQL) and lifecycle management.
· Proven experience in designing integration solutions on Azure/AWS/GCP.
· Skilled in working with structured and semi-structured data (e.g., XML, JSON, Parquet).
· Expertise in messaging and event-driven architectures using Kafka, Azure Event Hub, RabbitMQ.
· Proficient in DevOps, CI/CD, containerization (Docker, Kubernetes).
· Experience with monitoring tools (Splunk, Kibana, Azure Monitor, Dynatrace).
· Experience in designing resilient systems with retry, dead-letter queues, and failover strategies.
· Understanding of metadata management, data catalogs, and data lineage tools.
Required Skills & Qualifications:
· In-depth knowledge of data integration patterns (batch, real-time, streaming).
· Ability to architect scalable and secure data workflows.
· Strong understanding of data governance, lineage, and cataloging.
· Experience with version control, testing frameworks, and agile methodologies.
· Excellent stakeholder management and leadership skills.
· Capability to mentor junior engineers and conduct technical reviews.
· Familiarity with data quality frameworks and master data management.
· Strong documentation and presentation skills.
· Adept at translating business requirements into technical solutions.
· Passionate about innovation and digital transformation through data.
· Knowledge of performance tuning, memory optimization, and parallel processing.
· Experience integrating with third-party platforms, SaaS tools, and legacy systems.
· Strong command over orchestration tools and workflow automation platforms.