{"id":2784840,"url":"https://alion.io/job/persistent-systems-data-engineer-4","title":"Data 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":"Data Science","role_family":"Data Science","seniority":"senior","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":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"LLMOps","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-09T04:32:48Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T20:26:58Z","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 hiring experienced Data Engineer with 8 to 18 years of expertise in Snowflake, Informatica Intelligent Data Management Cloud (IDMC), and Data Modeling. The ideal candidate will have strong experience in designing and implementing enterprise-scale data platforms, building robust ETL/ELT frameworks, and delivering cloud-based analytics solutions. This role requires hands-on expertise in modern data engineering technologies, cloud platforms, and data transformation frameworks.\nRole: Data Engineer\nLocation: All Persistent Locations\nExperience: 8 to 18 Years\nJob Type: Full Time Employment\nWhat You'll Do:\nDesign, develop, and implement scalable ETL and ELT pipelines using Snowflake, IDMC, Informatica, and Databricks.\nBuild and maintain enterprise data integration frameworks supporting analytics and reporting requirements.\nDevelop cloud-native data solutions using Azure cloud services and modern data architectures.\nCreate and optimize data models to support business intelligence, analytics, and operational reporting initiatives.\nCollaborate with product teams, architects, platform teams, and business stakeholders to deliver high-quality data solutions.\nImplement data ingestion, transformation, cleansing, and validation processes across multiple data sources.\nDesign and manage Snowflake-based data warehouse solutions for enterprise-scale workloads.\nDevelop and optimize SQL and Python-based data processing solutions.\nImplement CI/CD pipelines and automation frameworks for data engineering projects.\nApply DataOps, MLOps, and LLMOps practices to streamline data and AI solution delivery.\nMonitor data pipelines and platforms to ensure performance, reliability, scalability, and availability.\nEnsure adherence to data governance, security, compliance, and quality standards.\nTroubleshoot data-related issues and perform root cause analysis for production incidents.\nParticipate in Agile ceremonies including sprint planning, reviews, retrospectives, and release activities.\nCreate technical documentation, data flow diagrams, and operational runbooks.\nContribute to continuous improvement, automation, and best practice initiatives across the data ecosystem.\nExpertise You'll Bring:\n8+ years of experience in Data Engineering, Data Warehousing, and Data Platform development.\nStrong expertise in Snowflake and enterprise-scale data warehouse implementations.\nHands-on experience with Informatica Intelligent Data Management Cloud (IDMC) and ETL development.\nStrong understanding of enterprise data modeling techniques including dimensional and relational modeling.\nProficiency in SQL for complex query development, optimization, and performance tuning.\nStrong Python programming skills for data engineering and backend data processing.\nExperience working with Azure cloud platforms and cloud-native data solutions.\nExperience building scalable ETL/ELT frameworks and modern data pipelines.\nHands-on experience with Databricks and large-scale distributed data processing environments.\nKnowledge of CI/CD implementation and deployment automation practices.\nExperience with MLOps and LLMOps methodologies for AI and analytics workloads.\nFamiliarity with DBT (Data Build Tool) for data transformation and modeling.\nUnderstanding of data governance, data quality, metadata management, and compliance requirements.\nExperience working with containerization technologies such as Docker.\nStrong analytical, troubleshooting, and problem-solving capabilities.\nExperience delivering end-to-end enterprise data solutions in Agile environments.\nStrong communication, stakeholder management, and collaboration skills.\nAbility to work effectively across cross-functional teams and enterprise-scale programs.\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":6504,"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":"2026-10-17T13:52:38Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.608,"p_room":0.55,"age_days":38,"expected_fill_days":26,"reasons":["conf:0","win:tail","comp:brand"],"computed_at":"2026-10-17T20:38:06Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-data-engineer-4","json_url":"https://alion.io/job/persistent-systems-data-engineer-4.json","meta":{"generated_at":"2026-10-17T20:38:06Z","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":4675,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-data-engineer-4"},{"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-data-engineer-4"},{"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-data-engineer-4"},{"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-data-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-data-engineer-4"}]}