2025 Senior Data Integration Engineer SDS/BSV-ES Bengaluru

bangalore , India

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Bosch Group

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Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

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:

·       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.

Qualifications

Educational qualification:

Graduation/Post Graduation in Engineering. Masters in Computer Science/Computer Applications from a Reputed University

 Experience :

7–10+ 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 :

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile APIs Architecture AWS Azure CI/CD Computer Science Data governance Data management Data quality DevOps Docker ELT Engineering ETL GCP GraphQL Informatica JSON Kafka Kibana Kubernetes Parquet RabbitMQ Splunk Streaming Talend Testing XML

Region: Asia/Pacific
Country: India

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