{"id":2604583,"url":"https://alion.io/job/ey-wam-aws-data-engineer-senior","title":"WAM-AWS-Data-Engineer-Senior","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-15T02:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T13:26:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\nWAM - AWS Data Engineer:\nConsulting - WAM -Technical-AWS Data Engineer: Senior\nAt EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.\nJoin EY and help to build a better working world.\nAbout Global Delivery Services\nGlobal Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.\nOur journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.\nClient service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.\nEnablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.\nOur innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.\nThe Opportunity\nRole Summary\nWe are seeking a highly skilled Senior AWS Data Engineer to design, develop, and support modern cloud-based data platforms on Amazon Web Services (AWS). The ideal candidate will have strong expertise in AWS data engineering technologies, Python/PySpark development, workflow orchestration, and data lake architectures, along with experience delivering scalable enterprise-grade data solutions.\nThe role involves building and maintaining data ingestion, transformation, and analytics pipelines supporting financial services applications, advisor platforms, reporting systems, and enterprise data initiatives. Candidates with prior experience in Wealth & Asset Management (WAM) domains will be highly preferred.\nRole: AWS Data Engineer Senior\nExperience: 5-8 years\nDomain: Wealth Management, Asset Management, Capital Markets, Investment Banking, Financial\nYour Key Responsibilities\nKey Responsibilities\nAWS Data Engineering & Development\nDesign, develop, and maintain scalable data pipelines using AWS Glue (PySpark), Amazon S3, AWS Step Functions, and Athena.\nBuild robust ETL/ELT solutions for batch and near real-time data processing.\nDevelop reusable PySpark frameworks and data transformation components.\nWork closely with architects and business stakeholders to implement data platform requirements.\nParticipate in migration and modernization initiatives from on-premises data platforms to AWS cloud environments.\nData Lake & Data Architecture\nImplement and support enterprise data lakes using Medallion Architecture (Bronze, Silver, Gold).\nDevelop and maintain Apache Iceberg tables for efficient storage, schema evolution, and incremental processing.\nEnsure data quality, lineage, reconciliation, and auditability across the data platform.\nContribute to data modeling and optimization efforts for analytical workloads.\nWorkflow Orchestration & Automation\nDevelop and maintain Apache Airflow (MWAA) workflows and DAGs.\nAutomate data movement, validation, monitoring, and notification processes.\nImplement retry mechanisms, dependency management, and failure handling within workflows.\nIntegrate Airflow with AWS Glue, S3, Athena, and downstream applications.\nAWS Cloud, Security & Infrastructure\nImplement AWS security best practices, including IAM roles, KMS encryption, and secrets management.\nSupport infrastructure provisioning and deployment activities using Terraform.\nCollaborate with DevOps, infrastructure, and security teams to maintain secure and reliable cloud environments.\nAssist in configuring VPC endpoints, networking connectivity, and service integrations.\nProduction Support & Operational Excellence\nMonitor and troubleshoot production data pipelines and workflows.\nPerform performance tuning of AWS Glue jobs and Spark workloads.\nImplement logging, monitoring, and alerting using Amazon CloudWatch.\nParticipate in incident resolution, root cause analysis, and continuous improvement initiatives.\nEnsure adherence to enterprise operational and governance standards.\nCollaboration & Continuous Improvement\nCollaborate with cross-functional teams, including data architects, analysts, application teams, and business users.\nParticipate in code reviews, design discussions, and technical documentation.\nMentor junior engineers and share AWS data engineering best practices.\nStay current with emerging AWS services and modern data engineering trends.\nPreferred Domain Experience\nStrong preference for candidates with experience in anyone:\nWealth Management\nAsset Management\nCapital Markets\nInvestment Banking\nFinancial Services\nExposure to\nPortfolio & Investment Management\nSecurities & Holdings Data\nTrade Processing\nRisk & Compliance Reporting\nRegulatory Reporting\nMarket & Reference Data\nAdvisor Compensation & Payout Platforms\nClient Reporting Solutions\nSkills and attributes for success\nPreferred Skills:\nAWS Data Engineering Services (Glue, EMR, Step Functions, S3, CloudWatch)\nApache Airflow\nRedshift\nIceberg\nDWH/ETL\nPython\nPyspark\nMedallion Architecture\nSQL\nIaC (Devops, Terraform)\nWAM Domain Knowledge\nGithub Copilot, Claude\nNice-to-Have Skills\nExperience with Oracle databases or ODI migrations.\nKnowledge of CI/CD pipelines and DevOps practices.\nExperience with data quality and metadata management tools.\nFamiliarity with enterprise governance and regulatory compliance requirements.\nAWS Certification (Data Analytics, Solutions Architect, or Developer Associate).\nWhat we look for\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.\n5-8 years of experience in Data Engineering with strong AWS exposure.\nHands-on experience with AWS Glue, Amazon S3, Athena, MWAA (Apache Airflow), Step Functions, and CloudWatch.\nStrong programming skills in Python and PySpark.\nExperience building large-scale ETL/ELT data pipelines.\nGood understanding of data modelling, data warehousing, and distributed processing concepts.\nExperience working with Apache Iceberg and cloud-native data lake architectures.\nExperience using Infrastructure as Code tools such as Terraform.\nStrong SQL development and query optimization skills.\nExperience supporting production-grade data platforms and troubleshooting complex issues.\nGood understanding of AI technologies, agentic systems, and tools such as Microsoft Copilot and Claude, with the ability to leverage AI-driven capabilities for solution development and delivery.\nWhat we offer you\nAt EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.\nAre you ready to shape your future with confidence? Apply today.\nTo help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.\nOur Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.\nProfessional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.\nPeople and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.\nBenefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.\nHow to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.\nSuccessful candidates advance to a competency-based interview. If mutual interest persists, a job offer awaits.\n“We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion”.\nEY | Building a better working world\nEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\nEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\nWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.","description_format":"text","description_chars":10464,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-15T09:16:31Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-15T17:11:56Z"},"pay":null,"html_url":"https://alion.io/job/ey-wam-aws-data-engineer-senior","json_url":"https://alion.io/job/ey-wam-aws-data-engineer-senior.json","meta":{"generated_at":"2026-10-15T17:11:56Z","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":26059,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-wam-aws-data-engineer-senior"},{"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%2Fey-wam-aws-data-engineer-senior"},{"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%2Fey-wam-aws-data-engineer-senior"},{"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/ey-wam-aws-data-engineer-senior\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-wam-aws-data-engineer-senior"}]}