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Senior Technical Lead
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- Posted 18 hours ago
- Be among the first 10 applicants
Job Description
Job Description
Data Bricks Tech Lead
Databricks Specialist responsible for designing, developing, and optimizing big data pipelines and analytics solutions on the Databricks platform, ensuring efficient data processing, transformation, and integration across cloud environments.
Strong hands-on experience with Databricks (PySpark, Spark SQL, Delta Lake), cloud platforms (AWS/Azure/GCP), and workflow orchestration, along with expertise in performance tuning, data pipeline optimization, and CI/CD integration for data engineering workflows.
More Info
Key Skills
CI CD integration
workflow orchestration
Delta Lake
data pipeline optimization
About Company
Skills:
Performance Tuning, Apache Kafka, Kafka Connect, cluster monitoring, real-time data processing, Kafka Streams
Skills:
Vectorcast, C, C++, CodeBeamer, Cmake, PowerShell, Makefile, Eclipse, Bash, Json, Polyspace, Batch, Gradle, Xml, Python, Azure DevOps, Pypi, Tessy, Qac, PTC Integrity, Axivion, gcc-like compilers
Skills:
Accessibility, Apis, Scalability, Devops, React, Azure, SEO, Tailwind CSS, AEO, Sitecore XM Cloud, Content Hub DAM, Content Hub, Security, GEO, Next.js
Skills:
Saml, Typescript, Proxies, Map, Python, AWS, Streams, Jwt, Flux, Kubernetes, Golang, cloud networking, compose techniques, GitOps, event-driven patterns, serverless architectures, batches, ABAC, functional programming principles, reduce, AAD, monads, list, pub sub systems, rbac, queues, Security Protocols, CI CD pipelines, ArgoCD, OIDC
Skills:
Technical Documentation, SAP, Containers, Code Review, Oracle, Python, Testing, AWS, Apis, Google Cloud, MLops, Machine Learning, Azure, Multimodal AI, Salesforce, Generative AI, Enterprise integrations, LLMs, LLMOps, Vector databases, Cloud platforms, Agentic AI, RAG agents, oci, Knowledge graphs, Source Control, AI observability, MCP multi-agent orchestration