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About the role
Job description Techlead responsible for designing and delivering scalable data platforms using Python, Databricks, and AWS , with full ownership of architecture, development, and team leadership with 8-10 years. The role involves building and supporting Enrolment Team enabling Databricks to HBase integration, with a strong focus on observability, scalability, and multi-tenant architectures. Key Responsibilities: Lead end-to-end design development of data pipelines and backend services Build and optimize Databricks workflows (Spark, jobs, pipelines) Develop Python-based services REST APIs for integrations Architect solutions leveraging AWS (S3, Lambda, EC2, IAM, CloudWatch) Ensure scalability, performance, security cost optimization Drive observability (logging, monitoring, ing) Collaborate with cross-functional teams mentor engineers Required Skills 8 10 years in software/data engineering Strong Python development (backend + data processing) Hands-on Databricks (Spark, notebooks, workflows, clusters) Strong AWS Cloud experience Expertise in data pipelines, distributed systems API development Experience with monitoring/observability tools Experience designing and supporting multi-tenant architectures. Good understanding of distributed systems and data processing frameworks. Skills python,databricks,cloud computing,aws devops, Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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