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Remote and popular data-engineer role, but niche Azure Fabric/Databricks skills lower competition.
Data engineering skills are transferable, but Azure Fabric/Databricks specificity moderately limits fit.
Explicit 6+ years and mandatory Azure Fabric/Databricks production experience increases selectivity.
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Own end-to-end design, development, and optimization of scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
Ensure data pipeline performance, scalability, reliability, and cost-efficiency while supporting production environments and resolving issues.
Collaborate with stakeholders and cross-functional teams to translate complex data requirements into enterprise-grade data solutions and continuously improve engineering processes.
6+ years of experience as a Data Engineer with enterprise-scale data engineering solutions.
Strong hands-on experience in Microsoft Azure Fabric, Databricks, and Azure data services.
Proficiency in SQL, Python, Apache Spark, and building scalable ETL/ELT pipelines.
Work Experience Required: 6+ years; Location Requirement: Remote (India).
Experienced data engineer with demonstrated ability to manage full data engineering lifecycle on cloud platforms, especially Azure ecosystem.
Skilled in designing scalable data architectures and optimizing cloud data workflows for enterprise use cases.
Comfortable leveraging AI-assisted development tools and collaborating with global, cross-functional teams on business-critical data projects.