Role Descriptions: Developer Databricks Key Responsibilities Design| develop| and maintain scalable ETLELT data pipelines across enterprise data platforms.Build and optimize transformation workflows using DBT and SQL.Develop data processing logic using Python and Databricks.Create and maintain reliable data models for analytics| reporting| and downstream consumption.Work with architects| business analysts| and application teams to understand data requirements and translate them into technical solutions.Perform data validation| quality checks| reconciliation| and root cause analysis for data issues.Optimize queries| jobs| notebooks| and pipelines for performance| cost| and reliability.Maintain technical documentation including data lineage| mappings| transformation rules| and operational handover notes.Support production deployments| incident analysis| and continuous improvement of data engineering processes.Required Skills and ExperienceStrong hands-on experience with Databricks.Positive knowledge of DBT for data transformation and model management.Advanced SQL skills for querying| transformation| optimization| and troubleshooting.Proficiency in Python for data processing| automation| and scripting.Strong understanding of ETLELT concepts and pipeline design patterns.Experience in relational| dimensional| and analytical data modeling.Preferred SkillsExperience with Spark or PySpark.Exposure to Azure Data Factory| Azure Synapse| or other Azure data services.Experience working in AgileScrum delivery models.Knowledge of CICD practices for data pipelines.
Essential Skills: Developer Databricks Key Responsibilities Design| develop| and maintain scalable ETLELT data pipelines across enterprise data platforms.Build and optimize transformation workflows using DBT and SQL.Develop data processing logic using Python and Databricks.Create and maintain reliable data models for analytics| reporting| and downstream consumption.Work with architects| business analysts| and application teams to understand data requirements and translate them into technical solutions.Perform data validation| quality checks| reconciliation| and root cause analysis for data issues.Optimize queries| jobs| notebooks| and pipelines for performance| cost| and reliability.Maintain technical documentation including data lineage| mappings| transformation rules| and operational handover notes.Support production deployments| incident analysis| and continuous improvement of data engineering processes.Required Skills and ExperienceStrong hands-on experience with Databricks.Good knowledge of DBT for data transformation and model management.Advanced SQL skills for querying| transformation| optimization| and troubleshooting.Proficiency in Python for data processing| automation| and scripting.Strong understanding of ETLELT concepts and pipeline design patterns.Experience in relational| dimensional| and analytical data modeling.Preferred SkillsExperience with Spark or PySpark.Exposure to Azure Data Factory| Azure Synapse| or other Azure data services.Experience working in AgileScrum delivery models.Knowledge of CICD practices for data pipelines.
Desirable Skills
Keyword
Skills: Digital : Databricks
Experience Required: 6-8
Rate Details
IND_Developer
Category 4
Level II
Rs70,000.00 - Rs130,000.00 Monthly NOOT
📌 Digital : Databricks (India)
🏢 Clifyx
📍 India
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