Lead Engineer
Job Description
Must Have Skills
- 3+ years of hands on experience in Azure Data Engineering development project
- 2+ years of experience in Databricks development
- 2+ years of experience in PySpark.
- 2+ years of experience in SQL
- Proficient in SQL
- 2+ years of experience in leading at least a 5+ member team in data engineering delivery
- Must be fluent in communication
More Info
Key Skills
About Company
Skills:
Typescript, Pytorch, Docker, Terraform, Elasticsearch, Python, AWS, Sql, Gcp, Opencv, Kubernetes, Qdrant, HuggingFace, Ray, MLflow, LangSmith, LangGraph, GitHub Actions, OpenAI APIs, Weights Biases, FAISS, ArgoCD, Weaviate, BentoML
Skills:
Infrastructure as Code (IaC), Azure Data Factory, Terraform, Azure Databricks, Azure Sql, Devops Automation, Performance Tuning, Incident Management, Key Vault, ADLS Gen2, Unity Catalog, Azure DevOps CI/CD pipelines, Root Cause Analysis, rbac, Platform security controls, Managed identities, Service principals
Skills:
Angular.js, Sql, Mean Stack, MVC Framework, Data Modeling, Express.Js, AWS, Node.js, Oops Concepts, Mern Stack, Nosql, React Js, Docker, Javascript, Restful Apis, SOAP APIs
Skills:
Graphql, Apigee, Sql, Google Cloud, microservice architecture, Typescript, Python, AWS, test-driven development, Big Query, functional programming, CI CD, DBT Data Build Tool
Skills:
connected devices , Katalon, System Integration Testing, Zephyr, Jira, Api Testing, Networking Basics, Jmeter, Agile, Firmware, Selenium, Scrum, Postman, Rest Apis, Playwright, Communication Protocols, IoT products, Embedded Systems, SQL database validation