Data Engineer

1 week ago


aligarh, India beBeeCloud Full time

We are seeking a Data Engineer to bridge the gap between cloud financial operations and engineering.This role involves designing and implementing ETL pipelines, building cost dashboards, ensuring tagging compliance, detecting anomalies, and collaborating with stakeholders to optimize cloud spend.ResponsibilitiesDesign and develop ETL solutions for cost and usage data using best practices for data warehousing and analytics.Analyze cloud cost and usage across AWS, Databricks, and other Cloud & On-Prem platforms.Build and maintain cloud cost dashboards and reporting solutions for visibility across LOBs and programs.Implement tagging standards and establish compliance checks and generate reports to ensure adherence to tagging standards.Detect & Analyze cost anomalies and usage patterns; proactively identify optimization opportunities using AWS Cost explorer, Databricks System tables & backup tables as driver.Collaborate with stakeholders (DevOps, Application teams, Finance, Architect, Infra) to implement cost-saving strategies following FinOps Foundation standards.Develop automated workflows for data ingestion, transformation, and validation.Document processes, data flows, and standards for FinOps operations.Work with vendors and internal teams to ensure KPIs for cost and tagging compliance are met.Enable accurate showback/chargeback models aligned to LOB/Program.Support forecast vs. actual reporting and provide monthly FinOps insights by enabling automated workflows, alerts, notifications, guardrails.Required Skills and Qualifications6+ years in Data Engineering with strong ETL design, development, and optimization experience.Hands-on experience with AWS services and cost management tools.Strong knowledge of tagging strategies and governance in multi-cloud environments.Proficiency in SQL, PL/SQL, and data warehousing best practices.Experience with DevOps practices, CI/CD pipelines, and automation tools.Familiarity with FinOps principles and cloud cost optimization techniques.Ability to analyze large datasets and detect anomalies using scripting or BI tools (e.g., Power BI, Tableau).BenefitsThis position offers a chance to work with a talented team and contribute to driving business growth through data-driven insights.OthersPlease note that we value diversity and inclusion in the workplace and encourage applications from qualified candidates from diverse backgrounds.



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