{"id":3092138,"url":"https://alion.io/job/datavail-senior-technical-specialist","title":"Senior Technical Specialist","company":{"id":2064706,"name":"Datavail","domain":"datavail.com","url":"https://alion.io/company/datavail","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Mumbai, India","Hyderabad, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MS SQL","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Databricks","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"PowerShell","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-22T05:44:57Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T01:01:17Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Title: Senior Azure Data Engineer\nLocation: India ( Remote )\nEducation: Bachelor’s Degree\nExperience Level: 10+\nWe are looking for experienced Data Engineers who can provide overlap with North America business hours. The ideal coverage is until approximately 3:00 PM-4:00 PM Eastern Time (ET). Resources may also work staggered shifts to ensure broader support coverage and operational continuity.\nWe are seeking a highly skilled, hands-on Senior Data Engineer with strong expertise in SQL Server, Azure Data Factory (ADF), ETL development, and Data Warehousing. This role is focused on designing, developing, troubleshooting, and modernizing enterprise-scale data integration solutions. The ideal candidate is a true Data Engineer, not primarily a BI or reporting developer. They should be capable of independently analyzing existing data pipelines, resolving production issues, building scalable data solutions, and driving the modernization of legacy SSIS-based workloads to Azure-based data platforms.\nRequired Qualifications:\nTechnical Skills\n8+ years of experience in Data Engineering, ETL Development, or Data Warehousing.\n\nStrong expertise in Microsoft SQL Server and advanced T-SQL development.\n\nStrong hands-on experience with Azure Data Factory (ADF).\n\nExtensive experience designing and building ETL/ELT pipelines.\n\nStrong experience with SSIS development, troubleshooting, migration, and modernization.\n\nSolid understanding of Data Warehouse concepts and dimensional modeling, including:\n\nFact & Dimension models\n\nStar Schema\n\nSnowflake Schema\n\nExperience processing large-volume data and performing SQL performance tuning.\n\nExperience integrating with REST APIs and external data providers.\n\nExperience with SFTP and file-based integrations.\n\nStrong knowledge of data validation, reconciliation, and quality controls.\n\nProven production support and troubleshooting skills.\n\nExperience using Git, source control practices, CI/CD, and deployment automation.\n\nExperience working across on-premises, hybrid, and cloud data platforms.\n\nPreferred AI / GenAI Experience:\nCandidates with exposure to AI-enabled data engineering solutions will be highly valued.\n\nExperience incorporating AI/GenAI capabilities into data engineering solutions.\n\nExperience with Azure OpenAI Service or OpenAI API integrations.\n\nPython-based AI automation and intelligent workflow development.\n\nAI-assisted data quality monitoring, anomaly detection, and operational troubleshooting.\n\nUnderstanding of:\n\nRetrieval-Augmented Generation (RAG)\n\nEmbeddings\n\nVector Databases\n\nAdditional Preferred Skills:\nPython\n\nPySpark\n\nDatabricks\n\nSnowflake\n\nAzure Synapse Analytics\n\nMicrosoft Fabric\n\nMongoDB / NoSQL databases\n\nPowerShell scripting\n\nData Lake and Lakehouse architectures\n\nDesired Candidate Profile\nThe successful candidate will:\nBe highly hands-on and technically strong in data engineering.\n\nDemonstrate the ability to work independently with minimal supervision.\n\nQuickly understand and troubleshoot complex legacy and modern data platforms.\n\nPossess strong analytical and problem-solving skills.\n\nHave experience supporting mission-critical production environments.\n\nBe comfortable driving modernization initiatives and recommending best practices.\n\nCommunicate effectively with both technical and business stakeholders.\n\nTake ownership of deliverables and operational outcomes.\n\nNice-to-Have Industry Experience:\nEnterprise Data Warehousing\n\nFinancial Services\n\nHealthcare\n\nRetail & Consumer Data Platforms\n\nSaaS and Cloud-Native Data Environments\n\nKey Responsibilities:\nDesign, develop, and maintain scalable ETL/ELT solutions and data pipelines.\n\nSupport and enhance enterprise data warehouse solutions.\n\nAnalyze existing SSIS packages and lead modernization efforts toward Azure Data Factory and modern cloud-based architectures.\n\nBuild and optimize data ingestion, transformation, and integration processes.\n\nPerform advanced SQL development, query optimization, and performance tuning for large-volume datasets.\n\nDevelop integrations with REST APIs, third-party systems, and file-based interfaces.\n\nSupport SFTP-based and batch data exchange processes.\n\nTroubleshoot production issues, perform root-cause analysis, and implement preventive solutions.\n\nEnsure data quality through reconciliation, validation, monitoring, and exception handling.\n\nCollaborate with business and technical stakeholders to gather requirements and build data solutions.\n\nImplement CI/CD pipelines and source control best practices for data engineering solutions.\n\nSupport hybrid environments involving on-premises and cloud-based systems.\n\nParticipate in architecture discussions and recommend modernization strategies.","description_format":"text","description_chars":4691,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Databases & DBMS","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-22T15:12:16Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":48,"reasons":["conf:4","velocity","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/datavail-senior-technical-specialist","json_url":"https://alion.io/job/datavail-senior-technical-specialist.json","meta":{"generated_at":"2026-10-23T15:28:47Z","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 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