Position: Databricks Developer
Location: Bangalore (WFH/Hybrid)
Openings: 1
Role Overview
We are seeking an experienced Databricks Developer with expertise in building and optimizing scalable data pipelines and analytics solutions. The ideal candidate will have a strong background in Databricks PySpark SQL and Spark along with solid experience working in cloud environments (AWS preferred).
Key Responsibilities
-
Design and implement data solutions on the Databricks platform.
-
Develop and optimize data processing pipelines and analytics solutions.
-
Architect scalable and efficient data models and storage solutions.
-
Collaborate with architects and cross-functional teams to migrate existing solutions to Databricks.
-
Optimize performance and reliability of Databricks clusters and jobs to meet SLAs.
-
Ensure data governance security and compliance best practices are followed.
-
Work with DevOps practices for automated deployment and monitoring of data pipelines.
-
(Good to have) Hands-on experience with containerization tools (Docker/Kubernetes).
Skills & Experience
Must Have Skills -
Databricks
-
PySpark
-
SQL
-
Spark
-
AWS
Good to Have Skills Total Experience: 6 years
Relevant Experience: 4 years in Databricks
Additional Details
Position: Databricks Developer Location: Bangalore (WFH/Hybrid) Openings: 1 Role Overview We are seeking an experienced Databricks Developer with expertise in building and optimizing scalable data pipelines and analytics solutions. The ideal candidate will have a strong background in Databricks PyS...
Position: Databricks Developer
Location: Bangalore (WFH/Hybrid)
Openings: 1
Role Overview
We are seeking an experienced Databricks Developer with expertise in building and optimizing scalable data pipelines and analytics solutions. The ideal candidate will have a strong background in Databricks PySpark SQL and Spark along with solid experience working in cloud environments (AWS preferred).
Key Responsibilities
-
Design and implement data solutions on the Databricks platform.
-
Develop and optimize data processing pipelines and analytics solutions.
-
Architect scalable and efficient data models and storage solutions.
-
Collaborate with architects and cross-functional teams to migrate existing solutions to Databricks.
-
Optimize performance and reliability of Databricks clusters and jobs to meet SLAs.
-
Ensure data governance security and compliance best practices are followed.
-
Work with DevOps practices for automated deployment and monitoring of data pipelines.
-
(Good to have) Hands-on experience with containerization tools (Docker/Kubernetes).
Skills & Experience
Must Have Skills -
Databricks
-
PySpark
-
SQL
-
Spark
-
AWS
Good to Have Skills Total Experience: 6 years
Relevant Experience: 4 years in Databricks
Additional Details
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