Azure Senior Data Technical Specialist

HCLTech • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • SQL • PowerShell • Scala • ETL/ELT • Informatica • SSIS • Azure Data Factory • Master Data Management • 7 days ago
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Salary
≈ $21k – $42k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior · 15+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match

HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
hcltech.com • HQ: Noida, India • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1976
Tech stack of HCLTech

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

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