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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.
EY- GDS - Data and Analytics –Snowflake Architect Manager – Cloud
As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
The opportunity
We’re looking for a candidate with 10+ years with strong architect expertise into Cloud Data Engineering Platforms and delivery lead
Roles & Responsibilities
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Snowflake Security & Integration
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Experience in configuring Snowflake Security integration services like OAuth, SAML.
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Expertise in configuring Snowflake API, Storage, and Notification integration services.
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Strong knowledge of Snowflake RBAC management, user management, and role management.
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Data Masking & Access Control
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Experience in configuring Dynamic Masking Policies and Tag-Based Masking Policies.
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Database & Warehouse Management
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Experience in creating and managing databases, schemas, and Snowflake warehouses.
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Data Migration & ETL
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Expertise in migrating SQL queries/DDLs from Oracle, MySQL, MS SQL, Cassandra to Snowflake SQL.
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Experience in automating file loading from AWS S3/Azure Blob using Snowpipe and Snowflake ingestion best practices.
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Strong background in transforming semi-structured data using Snowflake Stored Procedures.
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Experience in loading structured and semi-structured data into Snowflake from AWS S3/Azure Blob.
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Data Pipelines & Frameworks
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Experience in developing pipelines using a metadata-driven framework.
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Hands-on experience in database design & data modeling using Erwin tool.
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Data Governance & Validation
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Implemented data validation, error handling, auditing, and reconciliation mechanisms.
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Performance Optimization & Reporting
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Experience in optimizing Snowflake performance for efficient querying and storage.
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Ability to generate reports (CSV, JSON, XML) using Snowflake tasks and streams and ETL tools.
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Data Integration & Scheduling
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Experience in integrating and scheduling end-to-end data ingestion, profiling, and transformation flows in Snowflake.
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Hands-on experience with Snowflake Data Sharing (inbound and outbound).
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Advanced Snowflake Features
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Experience in creating and managing External Tables, Iceberg Tables, Dynamic Tables, UDFs, UDTFs, and Procedures.
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Implemented functionality for Service Now request generation in failure cases.
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Cloud & Orchestration Tools
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Hands-on experience with AWS (S3, SQS, SNS, EC2, RDS, IAM) and Azure (Blob Storage, IAM).
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Experience in workflow orchestration using Apache Airflow.
Skills and attributes for success
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Use an issue-based approach to deliver growth, market, and portfolio strategy engagements for corporates
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Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations.
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Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint.
To qualify for the role, you must have
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BE/BTech/MCA with 10+ years of IT development experience
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Expertise on design, architecting, developing, and implementing data engineering solutions on any of the public cloud platform – Snowflake
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Hands on experience with Data Governance/Catalogue Tools such as EDC, IBM IGC, ASG, Alation, TMM etc
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Working knowledge on Data Governance Framework and compliance regulations such as BCBS, GDPR, HIPPA, ACCORD etc
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Experience in producing Data Lineage Reports, Data Dictionaries, Business Glossary and Identifying the KBEs and CDE through Data Analysis
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5+ years of experience on data lineage, data governance, data modelling, data integration solutions
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Strong exposure to real time data processing
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Should be able to handle customers on any situations
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Knowledge of Data Architecture, Data Modelling and adopting best practices and policies in the Data Management space
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Experience in databases, data warehousing and high-performance computing environments.
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Experience on Presales, RFP’s, customer presentations, etc.,
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Nice to have Insurance and Finance domain experience
Ideally, you’ll also have
Client management skills
What we look for
People with technical experience and enthusiasm to learn new things in this fast-moving environment
What working at EY offers
At 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.
You 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 emphasizes high quality and knowledge exchange. Plus, we offer:
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Support, coaching and feedback from some of the most engaging colleagues around
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Opportunities to develop new skills and progress your career
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The freedom and flexibility to handle your role in a way that’s right for you
EY | Building a better working world
EY 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.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working 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.
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EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
직원 수
London
본사 위치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
3.7
문화
4.1
커리어
3.8
경영진
3.2
65%
친구에게 추천
장점
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
단점
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
연봉 정보
31,254개 데이터
Mid/L4
Mid/L4 · Operations Research Analyst
1,738개 리포트
$142,571
총 연봉
기본급
$136,899
주식
-
보너스
$5,673
$100,128
$203,912
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
57%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
자주 나오는 질문
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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