We are seeking a Principal Data Engineer with 10-15 years of hands-on experience in designing, building, and optimizing large-scale data pipelines and enterprise data platforms, preferably within a fast-paced technology environment based in Pune.
The ideal candidate will have deep expertise in Azure cloud services including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage, with the ability to architect end-to-end data solutions that support business-critical analytics workloads.
Strong proficiency in SQL and ETL development is essential, including designing complex transformation logic, optimizing query performance, and managing data quality across structured and semi-structured datasets.
Experience integrating data from diverse sources using REST APIs is required, including building robust ingestion frameworks that handle authentication, pagination, rate limiting, and error recovery at scale.
Hands-on experience with Power BI for building enterprise-grade dashboards and semantic models, combined with familiarity leveraging Claude AI capabilities for intelligent data processing or conversational analytics use cases, is highly desirable.
Proficiency in RDBMS technologies including MySQL, Oracle, MSSQL, and PostgreSQL is expected, with the ability to design normalized schemas, manage stored procedures, and tune database performance for high-volume transactional and analytical workloads.
The role demands strong leadership capabilities to guide cross-functional engineering teams, conduct design reviews, establish data engineering best practices, and mentor junior and mid-level engineers across the data platform team.
Candidates must demonstrate experience working in Agile delivery environments, contributing to sprint planning, technical roadmaps, and stakeholder discussions to align data infrastructure with evolving product and business intelligence needs.
Key Requirements & Skills
10-15 years of hands-on experience designing, building, and optimizing large-scale data pipelines and enterprise data platforms
Deep expertise in Azure cloud services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage
Strong proficiency in SQL and ETL development, including complex transformation logic, query performance optimization, and data quality management
Experience integrating data from diverse sources using REST APIs, including ingestion frameworks handling authentication, pagination, rate limiting, and error recovery
Proficiency in RDBMS technologies: MySQL, Oracle, MSSQL, PostgreSQL, including schema design, stored procedures, and performance tuning
Strong leadership capabilities: guiding cross-functional teams, design reviews, establishing best practices, and mentoring junior/mid-level engineers
Experience working in Agile delivery environments, contributing to sprint planning, technical roadmaps, and stakeholder discussions
Hands-on experience with Power BI for enterprise-grade dashboards and semantic models
Familiarity leveraging Claude AI for intelligent data processing or conversational analytics use cases
Frequently Asked Questions
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Salary details will be discussed during the interview.
