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Azure Databricks Developer
4 months ago
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.
Qualifications we seek in you-
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 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
- Delta lake
- dbConnect
- db API 2.
- 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.
