Senior Data Integration Engineer

Location : Bengaluru, Karnataka, India

Type : Permanent

Experience : 710+ years

Role Overview :

As a Senior Data Integration Engineer, you will be responsible for designing, implementing, and optimizing enterprise-grade data integration architectures.

You will lead strategic initiatives to ensure scalable, secure, and high-performance integration across systems, applications, and cloud platforms.

Key Responsibilities :

- Architect and govern ETL/ELT workflows using Azure Data Factory, Informatica, Talend, or SAP BODS.

- Design and maintain API & middleware strategies, including REST, SOAP, GraphQL integrations.

- Build real-time and batch data pipelines supporting business intelligence, analytics, and application needs.

- Implement and manage iPaaS platforms such as MuleSoft, Boomi, or Celigo for enterprise-wide connectivity.

- Establish data governance standards, ensuring compliance with security, lineage, and cataloging best practices.

- Optimize cloud-native data integration solutions for Azure, AWS, or GCP.

- Implement event-driven architectures using Kafka, Azure Event Hub, or RabbitMQ.

- Lead DevOps-driven deployments with CI/CD, Docker, and Kubernetes.

- Mentor junior engineers, conduct code reviews, and ensure adherence to best practices.

Required Skills :

- Expert-level knowledge of data integration patterns: batch, streaming, and real-time.

- Proficiency in structured/semi-structured data formats (JSON, XML, Parquet).

- Experience in data quality frameworks and master data management.

- Strong knowledge of orchestration tools and workflow automation.

- Hands-on experience with monitoring tools (Splunk, Dynatrace, Azure Monitor).

- Strong communication and stakeholder management abilities