{"id":1218796,"url":"https://alion.io/job/ey-ey-gds-consulting-ai-and-data-aws-data-engineer-manager","title":"EY - GDS Consulting - AI And DATA -AWS Data Engineer - Manager","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":["Coimbatore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"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":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Collibra","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"FinOps","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-24T02:01:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-18T17:16:47Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"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.\nEY-Consulting - Data and Analytics - AI Data Platform Engineer - AWS - Manager\nEY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY's financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY's Consulting Practice, Data and Analytics team solves big, complex issues and capitalise on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client's decision-making.\nRole\nAI Data Platform Engineer - AWS\nExperience Guide\n8-11 years\nPrimary Skill Area\nAWS Data Platforms, Glue, EMR, SageMaker, S3, Redshift, Event-Driven Data & Agentic Operations\nThe opportunity\nBuild and operate AWS-native Data & AI platforms with strong data engineering and platform engineering ownership. The role focuses on AWS Glue, EMR, S3, Athena, Redshift, MWAA, Step Functions, Lambda, EventBridge, SageMaker, APIs, enterprise service integration, Git-based delivery, Data SRE, data security, Immuta/Lake Formation governed access, and AI/agentic operations for production-grade data and AI workloads.\nYour key responsibilities\nAWS Data Engineering\nDesign and build production-grade AWS data pipelines using Amazon S3, AWS Glue, PySpark, Athena, Redshift, EMR, MWAA/Airflow, Step Functions, Lambda, EventBridge, CloudWatch, IAM, and KMS.\nDevelop reusable ingestion frameworks supporting batch, streaming, event-driven, CDC, API-based, file-based, database, and third-party service integration patterns.\nBuild curated raw, standardised, trusted, and consumption layers using scalable lakehouse design patterns, partitioning, metadata management, and file-format optimisation.\nOptimise Spark/Glue/EMR workloads for performance, cost efficiency, scalability, and operational stability.\nAWS Platform Engineering\nCreate reusable AWS platform accelerators for onboarding, pipeline templates, orchestration, monitoring, reconciliation, deployment, logging, and support runbooks.\nImplement Git connectivity, branching strategy, pull requests, code reviews, CI/CD, Infrastructure as Code, controlled releases, and environment promotion.\nIntegrate AWS data platforms with enterprise APIs, source applications, messaging/event services, governance tools, security platforms, and downstream analytics consumers.\nPartner with infrastructure, IAM, network, DBA, application, and support teams to resolve connectivity, access, deployment, and production issues.\nSageMaker, AI Integration & Agentic Enablement\nIntegrate AWS data platforms with Amazon SageMaker for data preparation, feature engineering, model training, deployment, MLOps workflows, and inference-ready data products.\nSupport SageMaker Pipelines, Feature Store, Model Registry, Model Monitor, Bedrock where relevant, vector stores, semantic search, and RAG-ready data products.\nApply AI-assisted and agentic operations for anomaly detection, schema drift detection, failed-job diagnosis, data quality recommendations, documentation generation, and incident summarisation.\nGovernance, Security & Data SRE\nImplement AWS data security controls including IAM least privilege, KMS encryption, Secrets Manager, VPC endpoints, Lake Formation, Glue Data Catalog, Macie, CloudTrail, and audit-ready access patterns.\nIntegrate with Immuta, Microsoft Purview, Collibra, enterprise IAM, monitoring platforms, data quality tools, and downstream analytics/AI consumers.\nOwn Data SRE responsibilities including CloudWatch observability, SLA/SLO tracking, alerting, retry logic, restartability, root-cause analysis, incident response, and production reliability management.\nSkills and attributes for success\nSkill / capability area\nDetails\nCore platform: AWS Glue, Amazon S3, Athena, Redshift, EMR, MWAA/Airflow, Step Functions, Lambda, EventBridge, CloudWatch.\nAI and GenAI: Amazon SageMaker, SageMaker Pipelines, Feature Store, Model Registry, Model Monitor, Bedrock optional, RAG-ready data products, Agentic AI.\nEngineering: Python, PySpark, SQL, APIs, Git, CI/CD, Shell scripting, unit testing, integration testing, data pipeline testing.\nCloud and DevOps: Terraform/OpenTofu, CloudFormation, GitHub Actions, Azure DevOps, Jenkins, Docker, Kubernetes/EKS, policy-as-code.\nGovernance and reliability: IAM, KMS, Lake Formation, Glue Data Catalog, Macie, Immuta, Purview, CloudTrail, data quality, observability, Data SRE, FinOps.\nTo qualify for the role, you must have\n8-11 years of experience in data engineering, data platform operations, analytics engineering, platform engineering, or AI platform enablement.\nStrong hands-on implementation experience with cloud data platforms, APIs, Git connectivity, CI/CD, governed access patterns, SRE practices, and production operations.\nPreferred certifications aligned to the relevant cloud/platform stack, data engineering, DevOps, security, governance, and AI/ML engineering.\nIdeally, you'll also have\nStrong hands-on engineer with architecture awareness, delivery ownership, and a platform engineering mindset.\nComfortable turning platform standards into reusable frameworks, secure implementation patterns, operational controls, and production-ready services.\nAble to mentor engineers, collaborate with architects/security/SRE teams, and adopt newer AI-native and agentic engineering methods.\nWhat we look for\nStrong hands-on engineer with architecture awareness, delivery ownership, and a platform engineering mindset.\nComfortable turning platform standards into reusable frameworks, secure implementation patterns, operational controls, and production-ready services.\nAble to mentor engineers, collaborate with architects/security/SRE teams, and adopt newer AI-native and agentic engineering methods.\nWhat working at EY offers\nAt EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies, and the work we do with them is as varied as they are.\nYou get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasises high quality and knowledge exchange. Plus, we offer:\nSupport, coaching and feedback from some of the most engaging colleagues around\nOpportunities to develop new skills and progress your career\nThe freedom and flexibility to handle your role in a way that's right for you\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":7911,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Business Travel","Travel Technology","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T11:27:52Z"}],"visa":[],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.744,"p_room":0.55,"age_days":23,"expected_fill_days":22,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ey-ey-gds-consulting-ai-and-data-aws-data-engineer-manager","json_url":"https://alion.io/job/ey-ey-gds-consulting-ai-and-data-aws-data-engineer-manager.json","meta":{"generated_at":"2026-10-18T20:08:25Z","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":24194,"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":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-ey-gds-consulting-ai-and-data-aws-data-engineer-manager"},{"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-ey-gds-consulting-ai-and-data-aws-data-engineer-manager"},{"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-ey-gds-consulting-ai-and-data-aws-data-engineer-manager"},{"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-ey-gds-consulting-ai-and-data-aws-data-engineer-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-ey-gds-consulting-ai-and-data-aws-data-engineer-manager"}]}