{"id":4010193,"url":"https://alion.io/job/fugentex-solutions-azure-data-engineer","title":"Azure Data Engineer","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"A","score":95,"open_postings":110,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":240,"computed_at":"2026-11-11T05:49:22Z"}},"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":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"Datadog","optional":true},{"name":"Hadoop","optional":true},{"name":"Java","optional":true},{"name":"Microsoft Teams","optional":true},{"name":"PowerShell","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-11-10T06:56:55Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-12T03:34:21Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"Job Description :\nWe are looking for an experienced Azure ETL Data Engineer with strong hands-on expertise in designing, developing, and implementing scalable ETL pipelines and data integration solutions on the Microsoft Azure platform.\nThe candidate should have experience in Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics, along with strong programming skills in Python, PySpark, Spark, and SQL.\nThe role involves migrating data from SQL Server to Azure, developing efficient data pipelines, implementing data transformation processes, and ensuring high-quality data delivery. The candidate should be comfortable working in an Agile environment and managing end-to-end development activities from design through deployment and production support.\nKey Responsibilities:\nDesign, develop, and implement scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks.\nDevelop and maintain data integration and migration solutions from SQL Server to the Azure cloud platform.\nBuild data transformation and processing workflows using Python, PySpark, Spark, and SQL.\nWork with Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics for data storage and processing.\nDesign and implement data models, including relational and dimensional data models.\nOptimize ETL workflows, SQL queries, and data pipelines to improve performance and efficiency.\nImplement data orchestration, scheduling, monitoring, and error-handling mechanisms within Azure.\nParticipate in end-to-end development activities, including requirement analysis, design, development, testing, deployment, and production support.\nPerform peer code reviews and ensure adherence to coding standards, architecture guidelines, and development best practices.\nCollaborate with cross-functional teams, participate in Agile/Scrum ceremonies, and maintain technical documentation.\nSupport testing cycles, production deployments, and troubleshooting of data pipeline issues.\nExperience & Qualifications\n5-7 years of overall experience in Data Engineering / ETL development.\nMinimum 3+ years of hands-on experience in Microsoft Azure Data Engineering.\nStrong hands-on experience in:\no Azure Data Factory (ADF)\no Azure Databricks\no Azure Data Lake Storage (ADLS)\no Azure SQL Database\no Azure Synapse Analytics\nStrong programming experience in Python, PySpark, and Spark.\nStrong SQL Server and T-SQL knowledge, including SSIS.\nExperience in designing, developing, and maintaining ETL/ELT pipelines.\nGood understanding of data modelling, relational modelling, and dimensional modelling.\nExperience in handling structured and semi-structured data formats such as JSON, XML, and CSV.\nKnowledge of database systems such as MS SQL Server and Oracle.\nExperience in data migration from SQL Server to Azure.\nUnderstanding of Azure data orchestration and workflow management.\nKnowledge of source code management and deployment tools such as Git and Jenkins.\nExperience in data file movement and integration through mailbox or other connectivity mechanisms.\nBachelor’s degree or equivalent technical qualification.\nPreferred Skills :\nMicrosoft Azure Data Engineer certification (DP-203 or equivalent).\nExposure to Sqoop, Hadoop, and Shell scripting.\nKnowledge of Java and Scala programming.\nExperience working in Agile/Scrum development environments.\nFamiliarity with JIRA, Confluence, and Microsoft Teams.\nExperience with Datadog for monitoring and observability.\nKnowledge of PowerShell scripting.\nExperience in CI/CD pipelines, automated deployments, and release management.\nGood understanding of cloud data architecture and performance optimization.\nLocation: Bangalore","description_format":"text","description_chars":3706,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-11-10T09:41:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":240,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/fugentex-solutions-azure-data-engineer","json_url":"https://alion.io/job/fugentex-solutions-azure-data-engineer.json","meta":{"generated_at":"2026-11-12T09:02:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18268,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3806667},"rest":"https://alion.io/mcp/rest/get_company?id=3806667"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffugentex-solutions-azure-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffugentex-solutions-azure-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffugentex-solutions-azure-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fugentex-solutions-azure-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffugentex-solutions-azure-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4010193}},{"tool":"search_jobs","arguments":{"company":"fugentex.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4010193},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}