Data Services & Integration Manager

Overview

We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. Our people want to play their part in solving the big, sophisticated challenges facing our world today and, guided by our bp values, are working to help meet the world's need for more energy while lowering carbon emissions. In our offices at Pune, we work in customer service, finance, accounting, procurement, HR services and other enabling functions – providing solutions as a coordinated part of bp.

Would you like to discover how our diverse, hardworking people are owning the way in making energy cleaner and better – and how you can play your part in our outstanding team

Join our team, and develop your career in an encouraging, forward-thinking environment!

Job Summary : The Data Services & Integration Manager will own the integration of data sources into the DTS platform to ensure flawless data flow and effective decision-making processes. This role involves handling commercial partnerships, ensuring sustainability practices are followed, and providing research insights for business decisions.

Job Responsibilities

• Lead the development and implementation of integration solutions to connect various data sources with the DTS platform.
• Collaborate with cross-functional teams to build and implement data pipelines and APIs to facilitate data exchange between systems.
• Ensure the security and integrity of data transmissions by implementing appropriate encryption mechanisms and access controls.
• Develop and maintain documentation related to integration processes, including build documents, test plans, and user manuals.
• Provide technical mentorship and support to developers working on integration projects.
• Conduct performance tuning and optimization activities to improve the efficiency and scalability of integration solutions.

Job Qualifications

Skills Required

Java, Rest, Xml, Soap, Azure, Python, Sql, Aws