01Overview
Educational RequirementsBachelor of Engineering, BBA, BCom
Service LineData Analytics Unit
ResponsibilitiesExperienced Data Engineer (68 years) with strong expertise in SQL and data transformation frameworks, including handson experience in dbt for building scalable, modular, and maintainable ELT pipelines. Proven ability to design and develop robust data transformation pipelines across raw to curated (gold) layers, ensuring data quality, consistency, and reliability. Handson experience with AWS data services (Athena, S3, Lambda) to build and manage scalable data workflows, along with a solid understanding of data modeling concepts to support downstream analytics use cases. Expected to have working knowledge of Power BI, specifically in semantic modeling (data models, DAX, dataset design) to enable effective consumption of curated data. This role is not reportingfocused. Strong focus on building automated, secure, and highperformance pipelines with effective data validation practices. Experience in monitoring, troubleshooting, and optimizing data pipeline performance within Agile delivery environments, along with exposure to CI/CD practices for deploying data transformation workflows. Collaborative team player with strong analytical and problemsolving skills, capable of working closely with Product Owners and Tech Leads to deliver highquality, analyticsready data products aligned with business objectives.Technical and Professional RequirementsData EngineerPower BIData ModelingDAXPreferred SkillsTechnology -> Cloud Platform -> Power Platform -> Power BITechnology -> Data Engineering -> Databricks .
