Big Data Engineer (Financial Services) Consultant/Senior Consultant, Technology Consulting

Ernst & Young Advisory Services Sdn Bhd; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking passionate Data Engineers to join their growing Data & Analytics team. In this role, you will harness your expertise in data engineering and analytics to transform complex data sets into actionable insights. You will work collaboratively with cross-functional teams to develop innovative solutions that drive efficiency and effectiveness in financial services. This dynamic position offers the opportunity to be involved in all aspects of project life-cycles while leveraging cutting-edge technologies. If you're ready to take your career to the next level and make a significant impact, this is the perfect opportunity for you.

Benefits

Continuous learning opportunities

Flexible work arrangements

Diverse and inclusive culture

Transformative leadership coaching

Qualifications

• 3+ years of relevant experience in data engineering.
• Understanding of semi-structured and unstructured data.
• Experience in consulting is preferred.

Responsibilities

• Develop batch ingestion and data transformation routines.
• Migrate data from legacy systems to cloud platforms.
• Present data in various formats for analysis.

Skills

Data Engineering

ETL Tools

Kafka

Data Transformation

Big Data Technologies

Java

C#

C++

HiveQL

Python

Education

Bachelor's degree in Computer Science

Master's degree in Engineering

Tools

Microsoft Azure

SAP BW

Teradata

PowerBI

Cognos

DataStage

Informatica

Microsoft SSIS

Azure Data Factory

Talend

Job description

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Location:

Other locations: Primary Location Only

Date: 17 Apr 2025

Requisition ID: 65321

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 stakeholders

Develop 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

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.

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