Data Engineer, Cloud Consumption

LSEG

Bengaluru, Karnataka, India3h agovia LinkedIn

About the Role

As a Data Engineer, Cloud Consumption, you will oversee data analysis activities across all aspects of cloud consumption. You will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to govern the reporting, evaluation, and optimization of cloud finances.

Key Responsibilities

  • Maintain, evaluate, and continually improve the cloud consumption model.
  • Provide feedback on data inputs and clarity on assumptions to maintain robust oversight of consumption evaluation, modeling, and reporting.
  • Ensure related data stores and model inputs adhere to defined best practices for curation and maintenance of accurate data points across the lifecycle of each application migration.
  • Evaluate and forecast cloud consumption and develop and maintain reports for various forums detailing progress, risks, and opportunities.
  • Model cloud consumption including scenario and sensitivity analysis to inform decision-making, insights, and identify gaps and trends.
  • Optimize cloud consumption models across product development and technology application migration.
  • Track and validate actual delivery performance to ensure assumptions are in sync with product build and migration timelines.
  • Drive greater transparency across delivery teams to inform reporting and improve root cause analysis.
  • Make recommendations for improvements.

Requirements & Tech Stack

  • Technical Knowledge: Understanding of fundamentals of operating infrastructure in the Cloud, preferably Azure.
  • Modelling Skills: Experience of creating sophisticated, long-term cost models from a delivery, product, customer, technology, and financial perspective.
  • Analytical Skills: Ability to interpret usage data and analytics to make informed recommendations and track actions associated with the recommendations.
  • Technical Skills: Excel and Power BI are essential.
  • Beneficial Skills: Experience with Python and Databricks would be beneficial.
  • Communication Skills: Excellent verbal and written communication skills.
  • Problem-Solving Skills: Curiosity about identifying issues and providing effective solutions.

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