{"id":2617396,"url":"https://alion.io/job/gyansys-azure-data-engineer","title":"Azure Data Engineer","company":{"id":3800154,"name":"GyanSys","domain":"gyansys.com","url":"https://alion.io/company/gyansys-infotech-pvt-ltd","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Bicep","optional":false},{"name":"dbt","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-15T10:41:36Z","employer_posted_date":null,"last_verified_at":"2026-10-15T10:41:36Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Azure Data Engineer\n\nJob Description : \n\nWe are looking for an experienced Azure Data Engineer with strong architecture ownership experience to design, develop, and manage scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on expertise across Azure data services, infrastructure as code, data transformation, security, and cloud networking.\n\nKey Responsibilities : \n\n- Own the architecture, design, and implementation of scalable, secure, and reliable data solutions on Microsoft Azure.\n\n- Design and manage data storage solutions using Azure Data Lake Storage Gen2 (ADLS).\n\n- Develop and orchestrate data pipelines using Azure Data Factory (ADF).\n\n- Implement and manage database solutions using Azure Database for PostgreSQL Flexible Server.\n\n- Deploy and manage containerized applications using Azure Container Apps.\n\n- Design and manage API integrations and secure API access using Azure API Management (APIM).\n\n- Implement intelligent search capabilities using Azure AI Search.\n\n- Manage secrets, credentials, and application security using Azure Key Vault and Microsoft Entra ID.\n\n- Monitor application and data platform performance using Azure Monitor and Log Analytics.\n\n- Implement infrastructure as code using Terraform and/or Bicep.\n\n- Develop and manage data transformation workflows using dbt.\n\n- Build data applications and interactive interfaces using Streamlit.\n\n- Design and implement Azure networking configurations, including private endpoints, to ensure secure connectivity.\n\n- Establish architecture standards, security best practices, monitoring strategies, and operational guidelines.\n\nRequired Skills : \n\n- Strong hands-on experience with Microsoft Azure data engineering and cloud architecture.\n\n- Expertise in Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure Data Factory (ADF).\n\n- Experience with Azure Database for PostgreSQL Flexible Server.\n\n- Knowledge of Azure Container Apps and Azure API Management (APIM).\n\n- Experience with Azure AI Search, Azure Key Vault, and Microsoft Entra ID.\n\n- Proficiency in Azure Monitor and Log Analytics.\n\n- Hands-on experience with Terraform and/or Bicep.\n\n- Experience with dbt and Streamlit.\n\n- Strong understanding of Azure networking, private endpoints, and secure cloud connectivity.\n\n- Demonstrated experience owning solution architecture and making technical design decisions.\n\nJob Details : \n\nExperience : 8+ years\n\nNotice Period : Immediate joiners only\n\nWorking Hours : 2 : 00 PM - 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