{"id":2811567,"url":"https://alion.io/job/persistent-systems-senior-aws-data-engineer","title":"Senior AWS 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":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","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":"IAM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-27T16:12:44Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-18T13:09:05Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"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 skilled Senior AWS Data Engineer with 6-11 years of experience in building scalable, high-performance data solutions using AWS, Databricks, Python, PySpark, and SQL. The ideal candidate will be responsible for designing, developing, and optimizing cloud-native data pipelines that support analytics, reporting, and business intelligence initiatives. This role requires strong expertise in data engineering best practices, distributed data processing, cloud architecture, and data warehousing concepts. The candidate will work closely with architects, analysts, data scientists, and business stakeholders to deliver reliable, secure, and scalable data solutions across enterprise platforms.\nRole: Senior AWS Data Engineer\nLocation: All Persistent Locations\nExperience: 6 to 11 years\nJob Type: Full-Time Employment\nWhat You'll Do:\nDesign, develop, and maintain scalable data pipelines using AWS, Databricks, PySpark, Python, and SQL.\nBuild robust ETL/ELT solutions to ingest, transform, and load structured and unstructured data from diverse source systems.\nDevelop and optimize large-scale data processing workflows using PySpark and Databricks.\nCreate and maintain data models, curated datasets, data marts, and analytical layers for reporting and business intelligence.\nLeverage AWS services such as S3, Glue, Lambda, EMR, and Redshift to build cloud-native data platforms.\nImplement data quality checks, validation frameworks, monitoring processes, and automated reconciliation mechanisms.\nOptimize Spark jobs, SQL queries, and data pipelines for performance, scalability, and cost efficiency.\nCollaborate with business stakeholders, data scientists, analysts, architects, and application teams to understand requirements and deliver impactful solutions.\nSupport data governance, metadata management, lineage tracking, and security compliance across enterprise data platforms.\nTroubleshoot pipeline failures, data quality issues, performance bottlenecks, and production incidents.\nImplement logging, monitoring, alerting, and operational support procedures for data platforms.\nContribute to CI/CD implementation, deployment automation, and infrastructure reliability initiatives.\nParticipate in architecture discussions, code reviews, and technical design activities.\nCreate and maintain technical documentation, operational runbooks, and engineering standards.\nExpertise You'll Bring:\n6-11 years of experience in Data Engineering and Data Platform Development.\nStrong experience designing and building scalable batch and near real-time data pipelines.\nHands-on expertise with ETL/ELT frameworks, data integration, and transformation techniques.\nExperience working with large-scale datasets and distributed computing platforms.\nStrong understanding of data engineering best practices, scalability, and reliability.\nHands-on experience with AWS services including S3, Glue, Lambda, EMR, Redshift, IAM, CloudWatch, and SNS.\nStrong understanding of cloud-native architectures, security controls, monitoring, and cost optimization.\nExperience implementing enterprise data lake and analytics solutions on AWS.\nKnowledge of scalable cloud data platform design and architecture.\nDeep expertise in Databricks for enterprise-scale data engineering workloads.\nStrong proficiency in PySpark for distributed data processing and optimization.\nExperience with Delta Lake, Spark SQL, DataFrames, and Spark performance tuning.\nStrong understanding of distributed processing concepts and scalable analytics architectures.\nAdvanced programming skills in Python for data processing, automation, orchestration, and pipeline development.\nStrong SQL expertise including complex query development, stored procedures, optimization, and analytical processing.\nExperience working with relational and cloud-based database platforms.\nStrong understanding of query performance tuning and database optimization.\nKnowledge of dimensional modeling techniques including Star Schema and Snowflake Schema.\nStrong understanding of data warehousing concepts and analytical data platforms.\nExperience creating curated datasets, semantic layers, and reporting models for business intelligence initiatives.\nAbility to design scalable data models supporting analytical and operational workloads.\nExperience with Git, CI/CD pipelines, Agile methodologies, and automation practices.\nFamiliarity with monitoring, logging, and operational support processes.\nExperience implementing data quality frameworks, testing approaches, and platform reliability standards.\nStrong analytical, troubleshooting, and problem-solving capabilities.\nAbility to work effectively in fast-paced and collaborative environments.\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":7472,"description_truncated":false,"requirements":{"experience_years_min":6,"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":"2026-10-18T09:41:59Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.45,"p_room":0.28,"age_days":82,"expected_fill_days":26,"reasons":["conf:0","win:tail","crowd:brand"],"computed_at":"2026-10-18T13:13:04Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-senior-aws-data-engineer","json_url":"https://alion.io/job/persistent-systems-senior-aws-data-engineer.json","meta":{"generated_at":"2026-10-18T13:13:04Z","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":19663,"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-senior-aws-data-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-senior-aws-data-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-senior-aws-data-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-senior-aws-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-senior-aws-data-engineer"}]}