Role & responsibilities

The Senior Data Engineer is the one who designs and builds data foundations and end to end solutions for the Shell Business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider Business stakeholder community. A Senior Data engineer is expected to be a subject matter expert, who design & build data solutions and mentor junior engineers. They are also the key drivers to convert Vison and Data Strategy for IT solutions and deliver. Key Characteristics Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise in technology domain A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff. Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers. Coordinate the change management process, incident management and problem management process. Present reports and findings to key stakeholders and be the subject matter expert on DataAnalysis & Design.



Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.

Contributes to community building initiatives like CoE, CoP.

Valuable-to-Have • Demonstrated expertise in creating and executing pipelines. • In-depth understanding of cloud services such as Power Apps, Azure DevOps. • Exceptional problem-solving skills and ability to work in high-pressure settings. • Excellent communication skills, both written and verbal, for collaboration with cross-functional teams.

SN Role descriptions / Expectations from the Role

1 responsible for implementing and managing a DevOps environment

2 focuses on creating and optimizing the software development and deployment pipeline

3 automating processes, integrating various tools, and fostering a culture of collaboration between teams that traditionally operated in silos.

4 Design and implement CI/CD pipelines to automate and optimize software deployment.

5 responsible for implementing and managing a DevOps workplace

📌 Azure Data Engineer Bengaluru (India)
🏢 Tata Consultancy Services
📍 India