Back
Mid-level generalist plus a known Tier-2 brand increases applicant density moderately.
Core data engineering skills are transferable, but Databricks/HBase specialization raises domain specificity.
Explicit 5-7 years plus mandatory Databricks, AWS, HBase, observability and multi-tenant experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable backend services and RESTful APIs using Python for data integration and platform services.
Build and support HONI connector enabling Databricks to HBase integration with focus on observability, scalability, and multi-tenant architecture management.
Implement observability solutions and monitor system health to maintain performance, reliability, availability on AWS cloud environment.
5-7 years of hands-on experience in Python backend development and AWS cloud services (EC2, S3, IAM, Lambda, CloudWatch).
Strong experience with Databricks (Spark, notebooks, jobs, clusters) and REST API development.
Experience in system integration between big data platforms, especially Databricks and HBase.
Experience designing and supporting multi-tenant architectures and observability solutions including monitoring, logging, and dashboards.
Experienced in building scalable, distributed backend data services integrating big data platforms in a cloud-native environment.
Skilled in implementing operational observability and security best practices on AWS for multi-tenant data platforms.
Able to collaborate effectively with cross-functional teams including data engineering, platform, and cloud operations to ensure platform performance and cost optimization.