Job 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.
We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.
The opportunity
We are growing our Data & Analytics team in FSO and now is an exciting time to join us on this journey. We are looking for Data Engineers who are passionate about technology & data with financial services experience, to join our diverse team. Whether you are a Consultant at the start of your career through to Manager looking for your next role across the whole breadth and depth of Data & Analytics, we would love to talk to you.
Your key responsibilities
Ability to clearly explain data and analytics strengths and weaknesses to both technical and senior business stakeholdersDevelop and maintain strong effective working relationships with key management personnel and internal client base including data engineers, BA’s and directly with the services/businesses
Responsible for developing batch ingestion and data transformation routines using ETL tools or other ingestion techniques
Responsible for developing real-time ingestion and data transformation routines using Kafka and similar technologies
Responsible for migrating data from legacy data platform to cloud data platform
Present data in graphs, charts, tables, etc. and designing and developing relational databases for collecting data.
Keep track of trends, patterns, and correlation in case of complex data sets.
Be involved in all aspects of the project life-cycle, including strategy, road-mapping, architecture and implementation to gain maximum exposure to set you up for a successful consulting career.
Configuration and coordination of data pipelines across projects
Data pipeline development, including Azure Data Factory, AWS Kinesis, Spark
Migration and transformation of large complex data sets from legacy systems like Teradata to cloud platform using Azure tools and other ETL tools like DataStage (ideally 5+ Years)
Data and Reporting Platform development on environments using technologies such as Microsoft Azure, SAP BW, Teradata, PowerBI or Cognos
Skills and attributes for success
Strong problem solver, someone comfortable to challenge the status quo
Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
Leverage technology to continually learn, improve service delivery and maintain our leading-edge best practices
Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
Good understanding of financial services industry
To Qualify for the role, you must have
Bachelor or Master’s degree in computer science, Engineering, or other related fields.
Minimally 3 years of relevant experience. Preferably at least a year of experience in the consulting industry.
Understanding or even practical experience of handling and manipulating semi-structured and unstructured data.
Deep understanding of big data technology, concepts, tools, features, functions and benefits of different approaches available.
Experience with one of Java, C# or C++.
Hands-on experience with HiveQL.
Familiarity with data ingestion tools such as Kafka, Flume and Sqoop.
Knowledge of hadoop related workflow/scheduling tools such as Oozie.
A strong background in coding with possible experience with Python, SAS, SQL or R.
Project delivery toolset experience in one or more batch ETL tools (such as DataStage, Informatica, Microsoft SSIS, Azure Data Factory or Talend) OR open source data integration tools (such as Kafka or Nifi)
Ideally, you’ll also have
Experience in data and analytics approaches such as data mesh.
Previous experience working with data, data environments, databases, large data sets possibly in a consulting environment
Ability to deploy, manage, and administer Hadoop-based components.
Ability to design, build, install, configure and support Hadoop-based applications.
Experience with investigating and handling data quality issues.
Understanding of data modeling (ER models) techniques.
What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.
What we offer
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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
Apply now.
EY | Shape the future with confidence
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.
