Azure Data Engineer

Data Enginner - Associate Consultant - MFT KGS CH

Job Requirements

Mandatory Skills

 

• Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 4 years work experience). 
• At least 2+ years of consulting or client service delivery experience on Azure Data Solution
• At least 2+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse
• Extensive experience providing practical direction with using Azure Native services.
• Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Databricks etc. 
• Experience in Data Analysis, data debugging, problem solving skills and business requirement understanding.
• Minimum of 2+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight 
• Well versed in DevSecOps and CI/CD deployments
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git
• Experience with private and public cloud architecture, pros/cons and migration considerations.

 

Primary Roles and Responsibilities 

 

An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes analyzing data, creating data pipelines, integrating data from various sources, debugging data issues and implementing data security & privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. 

Preferred Skills

• DevOps on an Azure platform
• Experience developing and deploying ETL solutions on Azure Cloud.
• Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud.
• Inclined with Microsoft vision and road map around latest tools and technologies in market.
• Knowledge on Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
• Microsoft certification’s role based. (DP600, DP203, DP900, AI102, AI900..)
• Microsoft PowerBI hands on and working knowledge, to create reports/dashboards and generate insights for business users.

Job Requirements

Mandatory Skills

 

• Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 4 years work experience). 
• At least 2+ years of consulting or client service delivery experience on Azure Data Solution
• At least 2+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse
• Extensive experience providing practical direction with using Azure Native services.
• Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Databricks etc. 
• Experience in Data Analysis, data debugging, problem solving skills and business requirement understanding.
• Minimum of 2+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight 
• Well versed in DevSecOps and CI/CD deployments
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git
• Experience with private and public cloud architecture, pros/cons and migration considerations.

 

Primary Roles and Responsibilities 

 

An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes analyzing data, creating data pipelines, integrating data from various sources, debugging data issues and implementing data security & privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. 

Preferred Skills

• DevOps on an Azure platform
• Experience developing and deploying ETL solutions on Azure Cloud.
• Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud.
• Inclined with Microsoft vision and road map around latest tools and technologies in market.
• Knowledge on Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
• Microsoft certification’s role based. (DP600, DP203, DP900, AI102, AI900..)
• Microsoft PowerBI hands on and working knowledge, to create reports/dashboards and generate insights for business users.

Job Requirements

Mandatory Skills

 

• Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 4 years work experience). 
• At least 2+ years of consulting or client service delivery experience on Azure Data Solution
• At least 2+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse
• Extensive experience providing practical direction with using Azure Native services.
• Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Databricks etc. 
• Experience in Data Analysis, data debugging, problem solving skills and business requirement understanding.
• Minimum of 2+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight 
• Well versed in DevSecOps and CI/CD deployments
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git
• Experience with private and public cloud architecture, pros/cons and migration considerations.

 

Primary Roles and Responsibilities 

 

An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes analyzing data, creating data pipelines, integrating data from various sources, debugging data issues and implementing data security & privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. 

Preferred Skills

• DevOps on an Azure platform
• Experience developing and deploying ETL solutions on Azure Cloud.
• Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud.
• Inclined with Microsoft vision and road map around latest tools and technologies in market.
• Knowledge on Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
• Microsoft certification’s role based. (DP600, DP203, DP900, AI102, AI900..)
• Microsoft PowerBI hands on and working knowledge, to create reports/dashboards and generate insights for business users.

Experience Level

Mid Level