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.