{"id":2788191,"url":"https://alion.io/job/persistent-systems-azure-data-engineer-snowflake-databricks","title":"Azure Data Engineer – Snowflake & Databricks","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":84,"open_postings":80,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":4,"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 DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-30T09:31:47Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-19T10:18:49Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"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 Data Engineer with strong expertise in Azure Databricks, Snowflake, PySpark, and SQL to design, develop, and optimize scalable data platforms and cloud-based data solutions. The ideal candidate will be responsible for building robust data pipelines, implementing modern data warehousing solutions, and enabling enterprise analytics and business intelligence initiatives. This role requires hands-on experience working with large-scale datasets, cloud-native architectures, ETL/ELT processes, and modern data engineering technologies across Azure and Snowflake ecosystems. You will collaborate with architects, analysts, and business stakeholders to deliver high-performance and reliable data solutions.\nRole: Azure Data Engineer - Snowflake & Databricks\nLocation: Pune, Bengaluru, Chennai\nExperience: 4 to 10 Years\nJob Type: Full-Time Employment\nWhat You'll Do:\nDesign, develop, and maintain scalable data pipelines using Azure Databricks and PySpark.\nBuild and optimize ETL/ELT workflows for processing structured, semi-structured, and unstructured data.\nDevelop and manage Snowflake data warehouse solutions, including data modeling and performance optimization.\nCreate reusable frameworks for data ingestion, transformation, validation, and orchestration.\nIntegrate data from multiple enterprise systems into Azure Data Lake and Snowflake platforms.\nDevelop scalable batch and real-time data processing solutions.\nOptimize data processing workloads for performance, scalability, and cost efficiency.\nImplement data quality, governance, monitoring, and security best practices.\nDesign and support modern data lakehouse architectures.\nCollaborate with business stakeholders, architects, and analytics teams to deliver data-driven solutions.\nPerform data analysis and troubleshoot production issues related to data pipelines and cloud platforms.\nSupport data migration and modernization initiatives.\nParticipate in code reviews and enforce engineering best practices.\nImplement CI/CD pipelines and deployment automation processes for data engineering solutions.\nCreate and maintain technical documentation, data flow diagrams, and operational procedures.\nParticipate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.\nExpertise You'll Bring:\n4-10 years of experience in Data Engineering and Analytics projects.\nStrong hands-on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake.\nProven expertise in Snowflake including data ingestion, transformation, optimization, and data sharing.\nStrong SQL development skills with experience in query optimization and performance tuning.\nExperience with Azure services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Key Vault, Azure DevOps.\nStrong understanding of data warehousing concepts and dimensional modeling.\nExperience designing and implementing ETL/ELT architectures.\nKnowledge of Data Lake and Lakehouse architecture principles.\nExperience working with large-scale enterprise datasets.\nHands-on experience with Git and source code management practices.\nExperience implementing CI/CD pipelines and deployment automation.\nFamiliarity with data governance, data quality, and security frameworks.\nStrong analytical, troubleshooting, and problem-solving skills.\nExperience working in Agile and Scrum delivery environments.\nAbility to collaborate effectively with business stakeholders and technical teams.\nExcellent communication and stakeholder management skills.\nAbility to work independently and manage multiple priorities in a fast-paced environment.\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":6410,"description_truncated":false,"requirements":{"experience_years_min":4,"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":"2026-10-17T17:06:51Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.589,"p_room":0.9,"age_days":18,"expected_fill_days":39,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-azure-data-engineer-snowflake-databricks","json_url":"https://alion.io/job/persistent-systems-azure-data-engineer-snowflake-databricks.json","meta":{"generated_at":"2026-10-19T14:13:12Z","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":10251,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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-data-engineer-snowflake-databricks"},{"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-data-engineer-snowflake-databricks"},{"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-data-engineer-snowflake-databricks"},{"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-data-engineer-snowflake-databricks\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-azure-data-engineer-snowflake-databricks"}]}