{"id":1282921,"url":"https://alion.io/job/hcltech-azure-data-technical-specialist-2","title":"Azure Data Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Master Data Management","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-09-26T03:43:44Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-02T21:12:52Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Summary\nSKILLS / EXPERIENCE REQUIRED\nExpertise on Azure platforms including Azure Databricks, ADLS, and its various components,\nIn-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.\nExpertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.\nStrong understanding of data architecture and data management principles.\nIn-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.\nIn-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory\nHands on experience on Function apps , Event Hubs,, Web apps , API M.\nGood have to experience on Migration to Salesforce\nStrong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.\nProficiency in programming languages such as Python, SQL, Spark notebooks and Scala.\nMust have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.\nExperience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.\nExperience with real-time / near-real-time Data warehousing concepts and Design approaches.\n8 - 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.\nShould have executed end-to-end projects focusing on Azure Synapse Delta lake.\nLeveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.\nShould have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework\nOverall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.\nDeep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.\nProven experience translating legacy database logic into cloud based data migration and integration solutions.\nStrong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.\nIn-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.\nLeveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.\nStrong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.\nProficiency in programming languages such as Python, SQL, Spark notebooks and Scala.\nKey Responsibilities\nSKILLS / EXPERIENCE REQUIRED\nExpertise on Azure platforms including Azure Databricks, ADLS, and its various components,\nIn-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.\nExpertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.\nStrong understanding of data architecture and data management principles.\nIn-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.\nIn-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory\nHands on experience on Function apps , Event Hubs,, Web apps , API M.\nGood have to experience on Migration to Salesforce\nStrong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.\nProficiency in programming languages such as Python, SQL, Spark notebooks and Scala.\nMust have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.\nExperience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.\nExperience with real-time / near-real-time Data warehousing concepts and Design approaches.\n8 - 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.\nShould have executed end-to-end projects focusing on Azure Synapse Delta lake.\nLeveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.\nShould have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework\nOverall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.\nDeep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.\nProven experience translating legacy database logic into cloud based data migration and integration solutions.\nStrong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.\nIn-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.\nLeveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.\nStrong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.\nProficiency in programming languages such as Python, SQL, Spark notebooks and Scala.\nSkill Requirements\nSKILLS / EXPERIENCE REQUIRED\nExpertise on Azure platforms including Azure Databricks, ADLS, and its various components,\nIn-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.\nExpertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.\nStrong understanding of data architecture and data management principles.\nIn-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.\nIn-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory\nHands on experience on Function apps , Event Hubs,, Web apps , API M.\nGood have to experience on Migration to Salesforce\nStrong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.\nProficiency in programming languages such as Python, SQL, Spark notebooks and Scala.\nMust have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.\nExperience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.\nExperience with real-time / near-real-time Data warehousing concepts and Design approaches.\n8 - 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.\nShould have executed end-to-end projects focusing on Azure Synapse Delta lake.\nLeveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.\nShould have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework\nOverall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.\nDeep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.\nProven experience translating legacy database logic into cloud based data migration and integration solutions.\nStrong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.\nIn-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.\nLeveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.\nStrong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.\nProficiency in programming languages such as Python, SQL, Spark notebooks and Scala.\nOther Requirements","description_format":"text","description_chars":8956,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-09-26T03:43:44Z"}],"liveness":{"score":95,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.951,"p_room":1,"age_days":6,"expected_fill_days":27,"reasons":["conf:12","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-azure-data-technical-specialist-2","json_url":"https://alion.io/job/hcltech-azure-data-technical-specialist-2.json","meta":{"generated_at":"2026-10-03T00:43:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":392,"day_limit":5000,"remaining_today":4608,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}