Sr Databricks Developer Architect

Job Title: Sr. Databricks Developer / Architect Locations: Remote Type of hire: Fulltime Job Description:

• Closely work with Architect and lead to design solutions to meet functional and nonfunctional requirements.
• Participate to understand architecture and solution design artifacts.

• Evangelize reuse 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 problemsolving skills.
• Ability to analyze and operate at various levels of abstraction.
• Ability to balance what is strategically right with what is practically realistic.

• Excellent technical skills to enabling the creation of futureproof 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 nonfunctional requirements.
• Demonstrated knowledge of relevant industry trends and standards.
• Demonstrate strong analytical and technical problemsolving 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 endtoend in Databricks.
• Must have at least 2 years of 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 spraksql.
• 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.