Principal Consultant - Databricks Sr. Developer - AZURE

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  
• Bachelor’s 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 experience in Data Engineering domain.
• Must have implemented at least 2 project end-to-end in Databricks.
• Must have experience on databricks which consists of various components as below
• Delta lake
• dbConnect
• db API 2.0
• 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.