We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in building scalable data pipelines, big data processing, cloud-based data platforms, and modern data engineering practices within the Azure ecosystem.

The successful candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures using Python and SQL, developing large-scale data processing workloads using Apache Spark, and implementing end-to-end data warehousing and real-time streaming solutions within the Azure ecosystem.

The role requires hands-on experience with Apache Spark, Delta Lake, Azure services, and workflow orchestration tools to support large-scale data processing and analytics initiatives.





The Data Engineer will work closely with cross-functional teams to translate business requirements into technical data solutions, optimize performance, scalability, and reliability of data processing systems, and ensure data quality, governance, and security standards are maintained across platforms.

The ideal candidate will have a strong understanding of data engineering principles, experience with cloud-based data platforms, and a passion for building scalable and effective data pipelines.

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

Responsibilities:

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📌 Data Engineer (India)
🏢 Happiest Resume
📍 India