Senior Databricks Developer - Python/SQL (7-16 yrs)

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

- 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 2.0

- 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.