Data Operations Engineer
3/25/2026
The role involves data onboarding into on-premise or cloud data lake environments, focusing on improving service lead times through process optimization and automation. Responsibilities include operational activities on platforms like Microsoft SQL Server, Oracle, and Talend, alongside minor development and orchestration of high-volume data pipelines.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
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 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 Description
Roles & Responsibilities :
• Data onboarding in data lake environment (on-premise / cloud)
• Improving service lead times by process optimization
• Optimizing efficiency by service automation
• Responsible for operational activities primarily in on-premise (Microsoft SQL server, Oracle database and Talend) and cloud platform
• Minor Development and Orchestration of data pipelines that handles mass volume
• Monitoring/Error correction the data pipelines, system health in terms of performance and security
• Configure and maintain alerts and take appropriate steps
• Automate data pipelines for improved performance
• Maintain data integration from varied sources (SAP, Oracle etc.,)
• Build and maintain services, reports, dashboards based on log analytics
• Collaboration with global stakeholders to understand the requirements and provide cost effective solutions
Qualifications
Educational qualification:
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
Experience :
• Overall 5+ years of IT experience out of which 3+ years of working experience data engineering toolsets (On-premise/ cloud)
• Experience in data engineering practices with respect to performance, development standards and methodologies
• Good knowledge in handling scripts and programming in SQL, T-SQL, PL/SQL
• Knowledge of cloud-based data engineering (e.g., Azure, Microsoft Fabric) is a plus.
• Good oral and written communication skills
• Conscious about quality, business value, performance
• Ability to work and collaborate with global teams
Mandatory/requires Skills :
Data Engineering (ETL/ELT)
Preferred Skills :
Oracle data engineering
Azure data engineering
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