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Senior, specialized data engineer in a metro Hyderabad market yields moderate competition.
Core data engineering skills transfer across industries, but banking/regulatory preference increases specificity.
Explicit 10+ years, mandatory cloud data engineering and specific tech stack create strict filters.
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Design, build, and maintain scalable, high-performance data engineering components managing approximately a terabyte of personal banking data.
Translate business requirements into production-ready solutions with minimal oversight and take full ownership of the development lifecycle from design to release.
Collaborate with cross-functional teams to ensure adherence to development standards and industry best practices, meeting uptime and scalability targets.
10+ years of software development experience with at least 5 years in cloud-based data engineering solutions.
Proficiency in Python, PySpark, Dataproc, Cloud Functions, Airflow Composer, and advanced SQL with query optimization.
Experience with NoSQL databases such as BigQuery and Firestore, and strong understanding of data warehousing and database design principles.
Hands-on experience with Google Cloud Platform (GCP), Terraform, CI/CD pipelines, and familiarity with GIT workflows for version control.
Senior engineer with deep expertise in data engineering within regulated industries, preferably financial services or banking.
Proven ability to architect and deliver large-scale, modular, and extensible data platforms, including data warehouse and lakehouse architectures.
Experience operating in cloud-native environments focusing on data platform security, scalability, and seamless user experience delivery.