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Mid-level metro data engineer role with popular title but Azure specialization lowers applicant density.
Azure-focused data engineering increases domain and platform bias, reducing cross-industry transferability.
Explicit 3–6 years requirement and mandatory Azure data platform experience tighten shortlisting.
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Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Services (e.g., Azure Data Factory, Synapse Pipelines).
Optimize data pipelines and resources for performance and cost efficiency, including troubleshooting pipeline failures and data quality issues.
Collaborate with data analysts, scientists, and application teams to support organizational analytics and reporting needs with secure, reliable, and scalable data workflows.
Bachelor’s degree in Computer Science, IT, Engineering, or related discipline.
3 to 6 years of experience in data engineering or data platform development roles.
Hands-on experience in production with Azure Data Services including Azure Data Factory and Synapse Analytics.
Expected to work full-time onsite, 5 days a week in office in India.
Experience delivering enterprise-scale data solutions for analytics, reporting, or BI using Azure cloud data platforms.
Strong proficiency in SQL, ETL pipeline development, data integration, orchestration frameworks, and data storage optimization.
Familiarity with resource optimization, cost management, data security & governance, and CI/CD practices for data pipelines in Azure environments.