Lead Assistant Manager

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)

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.