Big Data Engineer (Financial Services) ConsultantSenior Consultant, Technology Consulting

At EY youll 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 were 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 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 stakeholders

• Develop and maintain strong effective working relationships with key management personnel and internal client base including data engineers BAs 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 Masters 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 youll 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 youll 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:Youll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you:Well provide the tools and flexibility so you can make a meaningful impact your way.

• Transformative leadership:Well give you the insights coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture:Youll 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. Its yours to build.

Apply now.

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