Skills and attributes for success
- 15-17 years of total experience with 10+ years in Data Strategy and architecture field
- 15-17 years of total experience with 7+ years in AI Strategy & implementation.
- Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies
- Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP)
- Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products
- Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis
- 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ]
- 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks
- Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Strong creative instincts related to data analysis and visualization.
- Aggressive curiosity to learn the business methodology, data model and user personas.
- Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends.
- Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management
- Willingness to mentor team members
- Solid analytical, technical and problem-solving skills
- Excellent written and verbal communication skills
- Strong project and people management skills with experience in serving global clients
To qualify for the role, you must have
- Master’s Degree in Computer Science, Business Administration or equivalent work experience.
- Fact driven and analytically minded with excellent attention to details
- Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data
- Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up
- Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team
Ideally, you’ll also have
Ability to think strategically/end-to-end with result-oriented mindset
- Ability to build rapport within the firm and win the trust of the clients
- Willingness to travel extensively and to work on client sites / practice office locations
- Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm
- Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc
- Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc.
What we look for
- A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
- An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
- Opportunities to work with EY SaT practices globally with leading businesses across a range of industries
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
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.