2025_Senior Data Integration Engineer_SDS/BSV-ES_Bengaluru
2025_Senior Data Integration Engineer_SDS/BSV-ES_Bengaluru
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Roles & 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:
710 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.
Qualifications :
Educational qualification:
Graduation/Post Graduation in Engineering. Masters in Computer Science/Computer Applications from a Reputed University
Experience :
710 years of hands-on experience in data integration middleware and enterprise data engineering.
Mandatory/requires Skills :
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.
Preferred Skills :
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
