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 27,000+ 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 DescriptionRole Overview
We are seeking a highly skilled Senior Talend Developer / Lead Data Engineer to drive complex data integration initiatives across SAP ERP, Talend, Kinaxis RapidResponse, and modern cloud data platforms. The ideal candidate will combine deep hands?on technical expertise with solution architecture capabilities and team leadership.
This role involves designing and optimizing end?to?end data pipelines, modernizing legacy integrations, and enabling scalable, governed, and cloud-native data platforms leveraging Azure Data Services and Databricks. The engineer will play a key role in supporting global supply chain planning systems and enterprise data initiatives.
Key Responsibilities
1. Data Integration & ETL Development (Talend)
Design and implement robust ETL workflows using Talend Data Integration (Open Studio).
Hands-on expertise in designing and implementing template-driven architecture for reusable pipelines with minimal code changes.
Integrate data from diverse sources including SAP, databases, APIs, flat files, cloud repositories, MQs, and XML-based systems.
Apply best practices for data profiling, cleansing, validation, transformation, mapping, and auditing.
Build scalable batch and near-real-time data pipelines.
Implement strong monitoring, alerting, and logging for reliable production operations.
2. Integration Architecture & Delivery
Architect and develop end?to?end integration solutions across SAP ERP (S/4HANA and ECC), Talend, Kinaxis RapidResponse, MongoDB, Solace/RabbitMQ, and other enterprise systems.
Lead migration of legacy file transfers and XML interfaces to modern automated frameworks.
Define and enforce data mapping standards, enrichment logic, and transformation rules.
Ensure alignment with business requirements and integration best practices.
Strong understanding of version control and branching strategies using Talend Git.
3. Talend Administration Center (TAC) & Runtime Operations
Manage deployments, job scheduling, execution logs, and monitoring via TAC and TMC.
Configure tasks, triggers, resource utilization, sequencing, and error-recovery workflows.
Manage environment promotions, versioning, and dependency resolution.
Deploy jobs on Talend JobServer and ESB Runtime across Dev, Test, UAT, and Production environments.
Optimize memory, parallelism, and runtime configurations for performance.
4. SAP Data Integration
Develop ETL workflows using SAP integration technologies: IDoc, BAPI, RFC, OData, and structured extract files.
Understand SAP data models, business logic, and core master/transactional tables such as MARA, EKPO, BKPF, MSEG, etc.
Work closely with SAP functional and BASIS teams to ensure reliable, validated, and secure data extraction.
5. Cloud Modernization (Azure & Databricks)
Architect and implement solutions using Azure Data Factory, Azure Synapse, Azure Data Lake Storage.
Utilize Databricks (PySpark, Delta Lake) for advanced transformations, metadata-driven orchestration, and ML readiness.
Integrate Talend with Azure CI/CD pipelines using Azure DevOps or GitHub Actions.
Promote cloud-native modernization and best practices.
6. Governance, Observability & Security
Implement Data Quality frameworks, validation layers, and automated data health checks.
Build end?to?end data lineage, metadata, and traceability frameworks.
Develop enterprise observability dashboards using Grafana, Azure Monitor, and related tools.
Ensure compliance with RBAC, encryption, key vault usage, audit trails, and secure configuration standards.
7. Leadership & Cross-functional Collaboration
Mentor and guide junior and mid-level data engineers.
Perform code reviews, enforce development standards, and maintain technical excellence.
Collaborate with SAP teams, Kinaxis consultants, global business stakeholders, and platform architects.
Manage change requests, prioritization, issue resolution, and agile delivery workflows.
8. Future-Ready Initiatives
Evaluate and implement streaming architectures using Kafka or Azure Event Hub.
Explore AI-driven data quality, anomaly detection, and pattern recognition using Databricks ML.
Drive cost optimization, scalability improvements, and multi-region deployment strategies.
Educational qualification:
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field.
Core Technical Expertise (Mandatory)
Advanced experience in Talend DI/ESB job design, parameterization, error handling, and optimization.
Minimum 6 years in ETL and enterprise data integration.
Minimum 6 years working with Talend TAC/TMC administration.
Minimum 3 years integrating SAP via IDoc, BAPI, RFC, OData.
Minimum 3 years deploying and managing jobs on Talend Runtime.
Minimum 6 years strong SQL experience (Oracle, MySQL, SQL Server, etc.).
Kinaxis & SAP Integration
Strong expertise with Kinaxis RapidResponse data model and file-based integration.
Deep experience in XML, XSD, schema evolution, and large-file processing.
Cloud & Big Data Technologies
Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake Storage.
Databricks experience using PySpark, Delta Lake, optimization techniques.
Programming & Scripting
Proficiency in Python, SQL, and Groovy for automation and custom ETL logic.
Governance & Security
Experience with DQ frameworks, metadata/lineage tools, and auditing.
Strong grasp of secrets management, encryption, and compliance frameworks.
Preferred Skills
Java development for custom Talend components (2+ years).
Git experience (3+ years) with branching strategies, PR workflows, and code reviews.
Soft Skills
Strong analytical and problem-solving abilities.
Excellent communication and stakeholder engagement.
Ability to lead teams, drive architecture decisions, and deliver large-scale programs.
High attention to detail, documentation discipline, and a quality-first mindset.
Additional InformationOver all experience of 8-12 years