| Urgent required Sr. Databrick Developer Location : Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Sarvan Kumar, Rivago infotech [email protected] Reply to: [email protected] Role: Sr. Databricks Developer (Azure, AWS, GCP) Location: Remote Are you the one we are looking for Inviting applications for the role of Sr. Databricks Developer! In this role, the Sr. Databricks developer is responsible for solving real world cutting edge problem and mentor a team of one or more junior developer to address the goal. Responsibilities Closely work with Architect and lead to design solutions to meet functional and non- functional requirements. Participate to understand architecture and solution design artifacts. Evangelize re-use through the implementation of shared assets. Proactively implement engineering methodologies, standards, and leading practices. Provide insight and direction on roles and responsibilities required for solution operations. Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle. Considers the art of the possible, compares various solution options based on feasibility and impact, and proposes actionable plans. Demonstrate strong analytical and technical problem-solving skills. Ability to analyze and operate at various levels of abstraction. Ability to balance what is strategically right with what is practically realistic. Minimum qualifications Excellent technical skills to enabling the creation of future-proof, complex global solutions Bachelors Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience. Maintains close awareness of new and emerging technologies and their potential application for service offerings and products. Work with architect and leads for solutioning to meet functional and non- functional requirements. Demonstrated knowledge of relevant industry trends and standards. Demonstrate strong analytical and technical problem-solving skills Must have excellent coding skills either Python or Scala, preferably Python. Must have at least 5+ years of experience in Data Engineering domain with total of 7+ years. Must have implemented at least 2 project end-to-end in Databricks. Must have at least 2+ years of experience on databricks which consists of various components as below o Delta lake o dbConnect o db API 2.0 o Databricks workflows orchestration Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments. Must have strong understanding of Data warehousing and various governance and security standards around Databricks. Must have knowledge of cluster optimization and its integration with various cloud services. Must have good understanding to create complex data pipeline. Must have good knowledge of Data structure & algorithms. Must be strong in SQL and sprak-sql. Must have strong performance optimization skills to improve efficiency and reduce cost. Must have worked on both Batch and streaming data pipeline. Must have extensive knowledge of Spark and Hive data processing framework. Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, CosmosDB/DynamoDB, ASB/SQS, Cloud databases. Must be strong in writing unit test case and integration test. Must have strong communication skills and have worked on the team of size 5 plus. Must have great attitude towards learning new skills and upskilling the existing skills. Good to have Rest API knowledge. Good to have understanding around cost distribution. Good to have knowledge of Databricks platform design. Good to have Unity catalog and basic governance knowledge. Good to have Databricks SQL Endpoint understanding. Good To have CI/CD experience to build the pipeline for Databricks jobs. Good to have if worked on migration project to build Unified data platform. Good to have knowledge of DBT. Good to have knowledge of docker and Kubernetes. Keywords: continuous integration continuous deployment sthree database container edition |
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| Mon Jul 31 20:40:00 UTC 2023 |