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Azure Data Engineer

Kpmg India Services Llp

Hyderabad

Not disclosed

Work from Office

Full Time

Min. 2 years

Job Details

Job Description

Azure Data Engineer - Associate Consultant - Hyderabad

Specific Job Title: Data Engineer

Cost Center: Managed Services

Area of interest: Data Integration

Data Engineer: Azure

Level: Associate Consultant

Location: Hyderabad

Key Technologies:

2–4 years of experience in data engineering or a related field.
Proficiency in Azure Data Factory (ADF) for building pipelines and workflows.
Hands-on experience with Azure Data Lake Storage (ADLS) for managing data lakes.
Strong working knowledge of Databricks and PySpark.
Proficiency in Power BI development, including report and dashboard creation
Azure Service Fabric Knowledge is a plus.
Basic understanding of Python for scripting and automation.
Experience in designing and maintaining ETL/ELT workflows.
Familiarity with CI/CD pipelines and version control systems like Git, Azure DevOps
Good problem-solving and communication skills.

Key Responsibilities:

Develop and maintain scalable data pipelines using Azure Data Factory (ADF) and Databricks.
Perform data extraction, transformation, and loading (ETL/ELT) from various sources into Azure Data Lake Storage (ADLS).
Implement data processing workflows using Databricks and PySpark for structured and unstructured data.
Designing and developing Power BI reports and dashboards to meet the business stakeholders’ needs
Troubleshooting and resolving issues in Power BI reports
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Ensure data accuracy, consistency, and security across all stages of the data lifecycle.
Write clean and efficient Python scripts for data manipulation and workflow automation.
Monitor and optimize pipeline performance and troubleshoot issues as they arise.
Stay updated with Azure and data engineering best practices to recommend and implement improvements.

Certifications:

PL-300: Power BI Data Analyst Associate
DP-700: Fabric Data Engineer Associate (Optional)

Roles:

Client Support: Provide expert support and troubleshooting for customers’ applications, ETL’s and data integration resolving issues in a timely manner to ensure minimal disruption to client operations.
System Monitoring: Monitor client environments for performance, stability, and security, implementing proactive measures to prevent potential issues.
Configuration and Optimization: Assist clients with the configuration and optimization of their customers’ applications, integration systems to align with business requirements and improve efficiency.
Documentation and Reporting: Maintain accurate documentation of client environments, issues resolved, and changes made. Provide regular reports to clients on system performance and areas for improvement.
Training and Knowledge Transfer: Deliver training sessions and knowledge transfer to client teams, empowering them to effectively use and manage their customers’ applications and integration systems.
Azure Data Factory (ADF), Data Lake (ADLS), Data bricks, PySpark, Azure Fabric, Python, CI/CD, Power BI, PL-300, DP-700

Keywords:

Qualification

Any bachelor’s or master’s Degree

Work Location

Hyderabad

Specific Job Title: Data Engineer

Cost Center: Managed Services

Area of interest: Data Integration

Data Engineer: Azure

Level: Associate Consultant

Location: Hyderabad

Key Technologies:

2–4 years of experience in data engineering or a related field.
Proficiency in Azure Data Factory (ADF) for building pipelines and workflows.
Hands-on experience with Azure Data Lake Storage (ADLS) for managing data lakes.
Strong working knowledge of Databricks and PySpark.
Proficiency in Power BI development, including report and dashboard creation
Azure Service Fabric Knowledge is a plus.
Basic understanding of Python for scripting and automation.
Experience in designing and maintaining ETL/ELT workflows.
Familiarity with CI/CD pipelines and version control systems like Git, Azure DevOps
Good problem-solving and communication skills.

Key Responsibilities:

Develop and maintain scalable data pipelines using Azure Data Factory (ADF) and Databricks.
Perform data extraction, transformation, and loading (ETL/ELT) from various sources into Azure Data Lake Storage (ADLS).
Implement data processing workflows using Databricks and PySpark for structured and unstructured data.
Designing and developing Power BI reports and dashboards to meet the business stakeholders’ needs
Troubleshooting and resolving issues in Power BI reports
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Ensure data accuracy, consistency, and security across all stages of the data lifecycle.
Write clean and efficient Python scripts for data manipulation and workflow automation.
Monitor and optimize pipeline performance and troubleshoot issues as they arise.
Stay updated with Azure and data engineering best practices to recommend and implement improvements.

Certifications:

PL-300: Power BI Data Analyst Associate
DP-700: Fabric Data Engineer Associate (Optional)

Roles:

Client Support: Provide expert support and troubleshooting for customers’ applications, ETL’s and data integration resolving issues in a timely manner to ensure minimal disruption to client operations.
System Monitoring: Monitor client environments for performance, stability, and security, implementing proactive measures to prevent potential issues.
Configuration and Optimization: Assist clients with the configuration and optimization of their customers’ applications, integration systems to align with business requirements and improve efficiency.
Documentation and Reporting: Maintain accurate documentation of client environments, issues resolved, and changes made. Provide regular reports to clients on system performance and areas for improvement.
Training and Knowledge Transfer: Deliver training sessions and knowledge transfer to client teams, empowering them to effectively use and manage their customers’ applications and integration systems.
Azure Data Factory (ADF), Data Lake (ADLS), Data bricks, PySpark, Azure Fabric, Python, CI/CD, Power BI, PL-300, DP-700

Keywords:

Qualification

Any bachelor’s or master’s Degree

Work Location

Hyderabad

Specific Job Title: Data Engineer

Cost Center: Managed Services

Area of interest: Data Integration

Data Engineer: Azure

Level: Associate Consultant

Location: Hyderabad

Key Technologies:

2–4 years of experience in data engineering or a related field.
Proficiency in Azure Data Factory (ADF) for building pipelines and workflows.
Hands-on experience with Azure Data Lake Storage (ADLS) for managing data lakes.
Strong working knowledge of Databricks and PySpark.
Proficiency in Power BI development, including report and dashboard creation
Azure Service Fabric Knowledge is a plus.
Basic understanding of Python for scripting and automation.
Experience in designing and maintaining ETL/ELT workflows.
Familiarity with CI/CD pipelines and version control systems like Git, Azure DevOps
Good problem-solving and communication skills.

Key Responsibilities:

Develop and maintain scalable data pipelines using Azure Data Factory (ADF) and Databricks.
Perform data extraction, transformation, and loading (ETL/ELT) from various sources into Azure Data Lake Storage (ADLS).
Implement data processing workflows using Databricks and PySpark for structured and unstructured data.
Designing and developing Power BI reports and dashboards to meet the business stakeholders’ needs
Troubleshooting and resolving issues in Power BI reports
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Ensure data accuracy, consistency, and security across all stages of the data lifecycle.
Write clean and efficient Python scripts for data manipulation and workflow automation.
Monitor and optimize pipeline performance and troubleshoot issues as they arise.
Stay updated with Azure and data engineering best practices to recommend and implement improvements.

Certifications:

PL-300: Power BI Data Analyst Associate
DP-700: Fabric Data Engineer Associate (Optional)

Roles:

Client Support: Provide expert support and troubleshooting for customers’ applications, ETL’s and data integration resolving issues in a timely manner to ensure minimal disruption to client operations.
System Monitoring: Monitor client environments for performance, stability, and security, implementing proactive measures to prevent potential issues.
Configuration and Optimization: Assist clients with the configuration and optimization of their customers’ applications, integration systems to align with business requirements and improve efficiency.
Documentation and Reporting: Maintain accurate documentation of client environments, issues resolved, and changes made. Provide regular reports to clients on system performance and areas for improvement.
Training and Knowledge Transfer: Deliver training sessions and knowledge transfer to client teams, empowering them to effectively use and manage their customers’ applications and integration systems.
Azure Data Factory (ADF), Data Lake (ADLS), Data bricks, PySpark, Azure Fabric, Python, CI/CD, Power BI, PL-300, DP-700