{"id":2766053,"url":"https://alion.io/job/persistent-systems-azure-databricks-engineer","title":"Azure Databricks Engineer","company":{"id":59479,"name":"Persistent Systems","domain":"persistent.com","url":"https://alion.io/company/persistent-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","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":19000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":8,"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":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-09T04:09:28Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T03:00:12Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"About Persistent\nWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.\nOur disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026.\nAbout Position:\nWe are looking for an experienced Azure Databricks Engineer with 8 to 12 years of expertise in enterprise data engineering, cloud data platforms, and AI-driven data solutions. The ideal candidate will have strong hands-on experience in Azure, Databricks, SQL, Python, and AI/ML technologies, with a proven ability to build scalable and AI-ready data platforms that support analytics, machine learning, and Generative AI initiatives.\nRole: Azure Databricks Engineer\nLocation: Bengaluru\nExperience: 8 to 12 Years\nJob Type: Full-Time Employment\nWhat You'll Do:\nDesign, develop, and optimize enterprise-scale data pipelines using Azure Databricks.\nBuild scalable data ingestion, transformation, and processing frameworks for analytics and AI workloads.\nDevelop and maintain ETL/ELT pipelines supporting structured and unstructured data sources.\nTranslate business requirements into scalable Azure-based data solutions.\nSupport Enterprise Data Platform (EDP) architecture initiatives and roadmap programs.\nDesign and implement data models to support reporting, analytics, and machine learning applications.\nCollaborate with business users, data scientists, architects, and engineering teams to deliver data-driven solutions.\nBuild and optimize data solutions for AI/ML and Generative AI use cases.\nImplement data quality, governance, security, and compliance standards across data platforms.\nDevelop scalable processing frameworks using Python, PySpark, and SQL.\nSupport implementation of Retrieval-Augmented Generation (RAG) and AI-ready data architectures.\nMonitor, troubleshoot, and optimize data platform performance and reliability.\nParticipate in architecture reviews and provide technical recommendations for data modernization initiatives.\nDrive Agile delivery using DevOps, DataOps, and MLOps best practices.\nCreate technical documentation, design specifications, and operational runbooks.\nMentor junior engineers and contribute to continuous improvement initiatives.\nExpertise You'll Bring:\n8 to 12 years of experience in Data Engineering and enterprise-scale data platform development.\nStrong expertise in Azure cloud services and Azure-based data architectures.\nHands-on experience with Azure Databricks and large-scale distributed data processing.\nStrong SQL programming, query optimization, and performance tuning expertise.\nProficiency in Python and PySpark for data engineering and transformation workloads.\nExperience building scalable ETL/ELT pipelines and modern data platforms.\nStrong understanding of data modeling, data warehousing, and lakehouse architecture concepts.\nExperience working with large-scale structured, semi-structured, and unstructured datasets.\nKnowledge of AI/ML workflows and machine learning data preparation techniques.\nHands-on experience with Generative AI concepts, RAG architectures, vector stores, and embeddings.\nUnderstanding of MLOps, LLMOps, model deployment, monitoring, and lifecycle management practices.\nExperience implementing data governance, data quality, security, and compliance frameworks.\nFamiliarity with Azure Data Factory, Delta Lake, and cloud-native data services.\nStrong analytical, troubleshooting, and problem-solving capabilities.\nExcellent stakeholder management and communication skills.\nExperience working in Agile delivery environments and cross-functional teams.\nBenefits:\nCompetitive salary and benefits package\nCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications\nOpportunity to work with cutting-edge technologies\nEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awards\nAnnual health check-ups\nInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents\nValues-Driven, People-Centric & Inclusive Work Environment:\nPersistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.\nWe support hybrid work and flexible hours to fit diverse lifestyles.\nOur office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.\nIf you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment\nLet's unleash your full potential at Persistent -persistent.com/careers\n?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?","description_format":"text","description_chars":6126,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Information Technology","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-17T03:59:24Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.447,"p_room":0.55,"age_days":38,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-azure-databricks-engineer","json_url":"https://alion.io/job/persistent-systems-azure-databricks-engineer.json","meta":{"generated_at":"2026-10-18T03:06:55Z","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":4899,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":59479},"rest":"https://alion.io/mcp/rest/get_company?id=59479"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersistent-systems-azure-databricks-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fpersistent-systems-azure-databricks-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fpersistent-systems-azure-databricks-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/persistent-systems-azure-databricks-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-azure-databricks-engineer"}]}