Posted 11 July, 2026

Databricks_Pool Hiring

Diverse Lynx

Pune,Maharashtra,411057 Full Time

Reference: 365_569689_22-00776

Job Description AWS Databricks

SN	Required Information	Details
1	Role	Databricks Engineer
2	Required Technical Skill Set	Databricks on AWS
3	No of Requirements	1
4	Desired Experience Range	8-10 years
5	Location of Requirement

Desired Competencies (Technical/Behavioral Competency)
Must-Have	Designing and implementing highly performant data ingestion pipelines from multiple sources using Databricks on AWS Developing scalable and re-usable frameworks for ingesting large data sets and moving them from Bronze to silver and from Silver to Gold layer in databricks. Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times Hands-on experience in query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions Comfortable Spark programming in Python, Scala or Java Working with event based / streaming technologies to ingest and process data Experience with databases and data warehousing Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprint Excellent communication skills
Good-to-Have	Background in machine learning or working with Client tools and services

Sr. No	Responsibility of / Expectations from the Role
1	Hands-on experience in architecting, developing, deploying, and operating large scale distributed systems using major components in the Hadoop ecosystem
2	Designing and implementing highly performant data ingestion pipelines from multiple sources using Databricks on AWS
3	Developing scalable and re-usable frameworks for ingesting large data sets and moving them from Bronze to silver and from Silver to Gold layer in databricks.
4	Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
5	Working with event based / streaming technologies to ingest and process data
6	Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.