Azure Data Technical Specialist

Job Summary

SKILLS / EXPERIENCE REQUIRED
• Expertise on Azure platforms including Azure Databricks, ADLS, and its various     components, 
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
• Expertise on Azure platforms including Azure Databricks  and its various components, including Delta Lake.
• Strong understanding of data architecture and data management principles.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory
• Hands on experience on Function apps , Event Hubs,, Web apps , API M.
• Good have to experience on Migration to Salesforce 
• Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
• Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
• Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
• Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
• Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
• 8 – 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
• Should have executed end-to-end projects focusing on Azure Synapse Delta lake.
• Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
• Should have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework
• Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
• Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.
• Proven experience translating legacy database logic into cloud based data migration and integration solutions.
• Strong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
• Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
• Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.

Key Responsibilities

SKILLS / EXPERIENCE REQUIRED
• Expertise on Azure platforms including Azure Databricks, ADLS, and its various     components, 
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
• Expertise on Azure platforms including Azure Databricks  and its various components, including Delta Lake.
• Strong understanding of data architecture and data management principles.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory
• Hands on experience on Function apps , Event Hubs,, Web apps , API M.
• Good have to experience on Migration to Salesforce 
• Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
• Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
• Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
• Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
• Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
• 8 – 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
• Should have executed end-to-end projects focusing on Azure Synapse Delta lake.
• Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
• Should have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework
• Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
• Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.
• Proven experience translating legacy database logic into cloud based data migration and integration solutions.
• Strong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
• Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
• Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.

Skill Requirements

SKILLS / EXPERIENCE REQUIRED
• Expertise on Azure platforms including Azure Databricks, ADLS, and its various     components, 
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
• Expertise on Azure platforms including Azure Databricks  and its various components, including Delta Lake.
• Strong understanding of data architecture and data management principles.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory
• Hands on experience on Function apps , Event Hubs,, Web apps , API M.
• Good have to experience on Migration to Salesforce 
• Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
• Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
• Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
• Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
• Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
• 8 – 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
• Should have executed end-to-end projects focusing on Azure Synapse Delta lake.
• Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
• Should have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework
• Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
• Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.
• Proven experience translating legacy database logic into cloud based data migration and integration solutions.
• Strong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
• Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
• Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.

Other Requirements