Data Engineer (Databricks)
Data Engineer (Databricks)
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Job Description
Role: Data Engineer (Databricks)
Experince: 3+ Yrs
Location: Hyderabad
The Role
Build and support distributed data processing solutions using Databricks and Spark in public cloud environments.
What You Will Do
Deploy and support Databricks-based platforms
Develop and optimize Spark workloads
Assist with Infrastructure as Code
Support monitoring and troubleshooting
Collaborate with Cloud and DevOps teams
What You Will Have
2+ years of data or cloud engineering experience
1+ year working with Databricks, Spark, or Snowflake
1+ year working in public cloud environments
Scripting Experience (Python Preferred)
What Will Set You Apart
Delta Lake optimization experience
CI/CD for data pipelines
Streaming framework exposure
Experince: 3+ Yrs
Location: Hyderabad
The Role
Build and support distributed data processing solutions using Databricks and Spark in public cloud environments.
What You Will Do
Deploy and support Databricks-based platforms
Develop and optimize Spark workloads
Assist with Infrastructure as Code
Support monitoring and troubleshooting
Collaborate with Cloud and DevOps teams
What You Will Have
2+ years of data or cloud engineering experience
1+ year working with Databricks, Spark, or Snowflake
1+ year working in public cloud environments
Scripting Experience (Python Preferred)
What Will Set You Apart
Delta Lake optimization experience
CI/CD for data pipelines
Streaming framework exposure
More Info
Key Skills
About Company
Skills:
Azure Functions, Adf, Pyspark, Databricks, Azure, Sql, Synapse, Azure Purview, Delta Lake, Unity Catalog
Skills:
snowflake , Databricks, Pyspark, Spark, Etl
Skills:
Azure Databricks, Data Modeling, SQL Server, Data Warehousing, Python Scripting, Cloud Solutions, Data Governance, Performance Tuning, ETL Processes, Spark Programming
Skills:
Azure Data Factory, Scala, Data Warehousing, Azure Databricks, Data Modeling, Sql, Python, Palantir, ETL processes
Skills:
data warehouses , snowflake , Power Bi, Scala, Tableau, Sql, ELT, Databricks, Azure, Python, Etl, AWS, Data Lakes, DataVault