Senior Data Engineer (Azure,Databricks)
Experience: 6 to 8
Key Responsibilities
- -Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL.
- -Implement data orchestration, automation, and cost optimization strategies on Azure
- -Design and understand Data Modeling
- -Develop and integrate REST APIs for data exchange and system interoperability.
Required Skills
- Languages: SQL (Advanced), Python (Advanced), REST API (Intermediate)
- Cloud Infrastructure: Azure (Intermediate), Databricks (Intermediate)
- Tools: Databricks, ADLS, Azure SQL, ADF, GitHub, SSMS
- Concepts: CI/CD, Orchestration, Automation, Code Modularization, Versioning, Data Management, Data Engineering, Pipeline design(ETL)
Job Title
Senior Data Engineer (Azure,Databricks)
Experience: 6 to 8
Key Responsibilities
- -Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL.
- -Implement data orchestration, automation, and cost optimization strategies on Azure
- -Design and understand Data Modeling
- -Develop and integrate REST APIs for data exchange and system interoperability.
Required Skills
- Languages: SQL (Advanced), Python (Advanced), REST API (Intermediate)
- Cloud Infrastructure: Azure (Intermediate), Databricks (Intermediate)
- Tools: Databricks, ADLS, Azure SQL, ADF, GitHub, SSMS
- Concepts: CI/CD, Orchestration, Automation, Code Modularization, Versioning, Data Management, Data Engineering, Pipeline design(ETL)
- Graduate in Computer ScienJob Title
Senior Data Engineer (Azure,Databricks)
Experience: 6 to 8
Key Responsibilities
- -Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL.
- -Implement data orchestration, automation, and cost optimization strategies on Azure
- -Design and understand Data Modeling
- -Develop and integrate REST APIs for data exchange and system interoperability.
Required Skills
- Languages: SQL (Advanced), Python (Advanced), REST API (Intermediate)
- Cloud Infrastructure: Azure (Intermediate), Databricks (Intermediate)
- Tools: Databricks, ADLS, Azure SQL, ADF, GitHub, SSMS
- Concepts: CI/CD, Orchestration, Automation, Code Modularization, Versioning, Data Management, Data Engineering, Pipeline design(ETL)ce, Data Science, or related field. 3-4 years of experience in data engineering or a related field.
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