{"id":1272795,"url":"https://alion.io/job/zone-it-solutions-data-engineer","title":"Data Engineer","company":{"id":3808969,"name":"Zone IT Solutions","domain":"zoneitsolutions.com","url":"https://alion.io/company/zone-it-solutions","size_band":null,"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-08-31T10:44:19Z","employer_posted_date":null,"last_verified_at":"2026-08-31T10:44:19Z","board_verified":false,"closed_at":null,"days_open":31,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":31},"description":"About the Role:\n\nWe are looking for an experienced Data Engineer with strong Azure Data Engineering and AI capabilities to design, develop, and deploy scalable, production-ready data and AI solutions. The ideal candidate will have strong hands-on expertise in Azure Databricks, Python, and Azure Data Factory, along with practical experience in Azure AI Foundry, LLMs, Prompt Engineering, and AI Agent development.\n\nKey Responsibilities:\n\n- Design, develop, and maintain scalable data pipelines and data processing solutions using Azure Databricks, Python, and Azure Data Factory (ADF).\n\n- Build and deploy AI applications and AI agents using Azure AI Foundry.\n\n- Work with LLMs and Prompt Engineering to develop and integrate AI-powered solutions into data and business workflows.\n\n- Implement scalable data architectures using Medallion Architecture and ensure reliable data ingestion, transformation, and processing.\n\n- Develop and manage data solutions using Azure SQL Database, Databricks Apps, and related Azure services.\n\n- Implement CI/CD pipelines and GitHub-based development and deployment practices.\n\n- Ensure data and AI solutions meet requirements for scalability, security, governance, performance, and production readiness.\n\n- Collaborate with Data Engineering, AI/ML, Architecture, and other technology teams to deliver enterprise data and AI solutions.\n\n- Troubleshoot data pipelines, applications, and production issues and contribute to continuous improvement.\n\nRequired Skills & Experience:\n\n- 5 - 9 years of overall experience in Data Engineering, Cloud Data Engineering, or related roles.\n\n- 5+ years of hands-on experience with Azure Data Factory (ADF), Python, and Azure Databricks.\n\n- Strong hands-on experience with Azure Databricks for data engineering and pipeline development.\n\n- Strong programming and data-processing skills in Python.\n\n- Strong experience with Azure Data Factory and enterprise data pipeline development.\n\n- Hands-on experience with Azure AI Foundry and AI application development.\n\n- Practical experience with LLMs, Prompt Engineering, and AI Agents.\n\n- Experience with Azure SQL Database and Databricks Apps.\n\n- Strong understanding of Medallion Architecture and modern data engineering practices.\n\n- Experience with CI/CD and GitHub.\n\n- Good understanding of data security, governance, scalability, and production deployment.\n\n- Strong analytical, troubleshooting, communication, and problem-solving skills.\n\nGood to Have:\n\n- Experience with Databricks Mosaic AI.\n\n- Knowledge of newer Databricks AI capabilities and AI/ML services.\n\n- Experience integrating AI capabilities with enterprise data platforms.\n\nSkills\nData Engineering, Azure Foundry, Artificial Intelligence, LLM, AI Integration, SQL, Azure Data Factory, Azure Databricks, Python, Data Pipeline, Medallion Architecture","description_format":"text","description_chars":2834,"description_truncated":false,"requirements":{"experience_years_min":5,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.666,"p_room":0.55,"age_days":30,"expected_fill_days":24,"reasons":["seen:30","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/zone-it-solutions-data-engineer","json_url":"https://alion.io/job/zone-it-solutions-data-engineer.json","meta":{"generated_at":"2026-10-01T17:29:36Z","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":9,"day_limit":5000,"remaining_today":4991,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}