Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Generalist Senior Data Engineer title, mid-level experience requirement, and metro location increase candidate competition.
Azure-centric data engineering skills are broadly transferable across industries, lowering background sensitivity.
Mandatory Azure data engineering skills plus explicit years requirement make shortlisting moderately strict.
Design, develop, and maintain scalable, secure data pipelines and integrations on Azure to support current and future analytical use cases.
Provide technical leadership and best practices to the data team, educate data consumers on data models and usage, and act as primary contact for external consultants to ensure project delivery.
Ensure data governance compliance, promote platform adoption (Cotton Cloud), collaborate with stakeholders to deliver high-quality datasets powering business dashboards and analytics.
Bachelor's degree in Computer Science or related field, or equivalent work experience.
Minimum 3 years of relevant data engineering experience with hands-on Azure Data Factory, GitHub CI/CD, SQL, and programming in Java, C#, or C++.
Proficiency with Azure cloud data services including Data Lake, Synapse Analytics, Azure SQL, and familiarity with BI tools such as Power BI and Salesforce is required.
Location: Delhi, India with hybrid working arrangement; Work Experience Required: Minimum 3 years explicitly mentioned.
Experienced in building and delivering data solutions on Azure with strong expertise in cloud data engineering and data modeling.
Capable of leading technical direction, implementing data governance, and collaborating cross-functionally to translate business needs into technical data solutions.
Demonstrates outcome-driven skills in process improvement, data-driven decision making, and advancing data adoption through education and stakeholder alignment.