{"id":3267073,"url":"https://alion.io/job/persistent-systems-senior-data-engineer-5","title":"Senior 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":"A","score":91,"open_postings":106,"ghost_share":0,"stale_share":0.358,"repost_share":0.028,"time_to_fill_p50_days":45,"computed_at":"2026-10-29T05:49:05Z"}},"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":19500,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T11:40:03Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T15:20:20Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"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 seeking a highly skilled Senior Data Engineer with strong expertise in AWS Cloud, Python, PySpark, and modern Data Lakehouse architectures. The ideal candidate will have extensive experience designing and building scalable ETL pipelines, implementing cloud-native data solutions, and managing large-scale data processing workloads. This role will be instrumental in enabling data-driven decision-making through reliable, high-performance, and secure data platforms.\nRole: Senior Data Engineer - AWS & PySpark\nLocation: Pune\nExperience: 8 to 10 Years\nJob Type: Full-Time Employment\nWhat You'll Do:\nDesign, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and transformation.\nBuild and optimize data processing frameworks using Python, PySpark, and distributed computing technologies.\nDevelop data ingestion, transformation, validation, and enrichment processes for structured and unstructured datasets.\nImplement and manage AWS-based data solutions using services such as Glue, Lambda, EMR, ECS, and Lake Formation.\nDesign and support modern Data Lakehouse architectures leveraging Apache Iceberg and Delta Lake.\nDevelop workflow orchestration and automation using Apache Airflow and AWS Step Functions.\nCollaborate with Data Scientists, Business Analysts, and Data Architects to deliver high-quality data products.\nDesign efficient data storage and retrieval strategies to support analytics and reporting workloads.\nMonitor, troubleshoot, and optimize ETL pipelines to ensure performance, reliability, and operational excellence.\nImplement data quality controls, validation checks, reconciliation processes, and governance standards.\nSupport cloud migration and data modernization initiatives across enterprise systems.\nCreate technical documentation, operational runbooks, and deployment procedures.\nParticipate in code reviews and promote engineering best practices.\nEnsure compliance with security, governance, and data management standards.\nExpertise You'll Bring:\n8-10 years of experience in Data Engineering, Big Data Engineering, or Cloud Data Platform development.\nStrong programming expertise in Python with experience using Pandas, PySpark, and related libraries.\nExtensive hands-on experience designing and maintaining enterprise ETL/ELT pipelines.\nStrong knowledge of distributed data processing using Apache Spark and PySpark.\nProficiency in AWS cloud services including AWS Glue, AWS Lambda, Amazon EMR, Amazon ECS, AWS Lake Formation, AWS Step Functions.\nExperience implementing Data Lakehouse architectures using Apache Iceberg and Delta Lake.\nStrong understanding of data partitioning, schema evolution, data versioning, and transactional data lakes.\nExperience with workflow orchestration platforms such as Apache Airflow.\nKnowledge of data warehousing concepts and dimensional data modeling techniques.\nHands-on experience working with large-scale structured and semi-structured datasets.\nStrong SQL skills and database optimization knowledge.\nExperience implementing monitoring, logging, exception handling, and data quality frameworks.\nUnderstanding of cloud-native architecture and scalable data platform design.\nExperience troubleshooting production data pipelines and performance bottlenecks.\nStrong analytical, debugging, and problem-solving capabilities.\nExcellent communication and stakeholder collaboration skills.\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":6173,"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":"2026-10-26T09:44:10Z"},{"event":"close","at":"2026-10-27T13:51:34Z"},{"event":"reopen","at":"2026-10-27T18:42:40Z"}],"visa":[],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.871,"p_room":0.9,"age_days":20,"expected_fill_days":45,"reasons":["conf:3","velocity","win:mid","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-senior-data-engineer-5","json_url":"https://alion.io/job/persistent-systems-senior-data-engineer-5.json","meta":{"generated_at":"2026-10-29T17:14:22Z","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":25791,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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-senior-data-engineer-5"},{"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-senior-data-engineer-5"},{"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-senior-data-engineer-5"},{"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-senior-data-engineer-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-senior-data-engineer-5"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3267073}},{"tool":"search_jobs","arguments":{"company":"persistent.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3267073},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}