DE-RCE-AIProject-PythonAI-Manager-GDSN02

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. 

Manager - Python

PySpark | Python | SQL | Hadoop | Impala

Experience

• 7+ years

Domain preference

BFSI / Banking / Capital Markets / FSO

Employment    

Full-time

EY GDS - Delivery Excellence Manager Position

In today's fast-paced technology landscape, cost-effective delivery and engineering excellence are critical to building successful global businesses. Our teams apply modern data engineering practices, automation, and scalable platforms to deliver tailored solutions for clients across industries.

As part of our global team, you will contribute to GDS projects as a data engineering leader. You will solve complex data challenges, guide engineering teams, and help create next-generation data processing and analytics platforms.

The Opportunity

We are offering a challenging Manager-level role for a hands-on data engineering professional. You will design and deliver scalable batch and distributed data solutions, work in an international environment, and collaborate with business and technology stakeholders to create reliable, high-performing data products.

Role Overview

We are looking for a highly skilled Manager to lead the design, development, and delivery of enterprise-grade data platforms. The ideal candidate will have strong hands-on expertise in PySpark, Python, SQL, Hadoop, and Impala, along with proven leadership, stakeholder management, and delivery capabilities. Exposure to Flask and basic REST API development will be an advantage.

Key Responsibilities

• Lead the end-to-end design, development, testing, deployment, and support of scalable data engineering solutions.
• Build and optimize distributed data processing pipelines using PySpark and the Hadoop ecosystem.
• Develop reusable, maintainable, and well-tested data processing components in Python.
• Design complex SQL transformations and tune queries for performance across large data volumes.
• Use Impala for interactive analytics, data validation, troubleshooting, and performance-focused querying.
• Drive data ingestion, transformation, quality, lineage, reconciliation, and monitoring practices.
• Partner with product owners, architects, analysts, and client stakeholders to translate requirements into technical solutions.
• Provide technical leadership, conduct code and design reviews, and mentor a team of data engineers.
• Ensure adherence to engineering standards covering security, privacy, coding quality, version control, and release management.
• Drive Agile delivery, estimation, risk management, dependency tracking, and continuous improvement.
• Participate in client discussions, solution design, proposal support, and technical presentations.

Primary Skills - Must Have

• 7+ years of software or data engineering experience, including experience leading technical teams or workstreams.
• Strong hands-on experience with PySpark for large-scale distributed data processing and transformation.
• Domain - FSO, banking, capital markets, or other regulated industries.
• Advanced Python programming skills, including modular design, exception handling, logging, testing, and performance optimization.
• Strong SQL skills, including complex joins, window functions, aggregations, query optimization, and data validation.
• Solid experience with Hadoop components and distributed storage and processing concepts.
• Hands-on experience with Impala, including query development, troubleshooting, and performance tuning.
• Strong understanding of data modeling, data quality, metadata, partitioning, file formats, and performance optimization.
• Effective communication, stakeholder management, problem-solving, and team leadership skills.

Good to Have Skills

• Experience developing lightweight web applications or services using Flask.
• Basic experience designing, developing, or consuming REST APIs, including JSON payloads, authentication concepts, error handling, and API testing.
• Exposure to cloud data platforms on Azure, AWS, or GCP.
• Knowledge of orchestration or scheduling tools such as Apache Airflow, Oozie, or equivalent.

Secondary / Domain Skills

• Understanding of financial data, regulatory reporting, controls, auditability, and data privacy requirements.
• Experience working with global, cross-functional, and geographically distributed teams.
• Leadership & Behavioural Competencies
• Proven experience managing and mentoring data engineering teams, preferably five or more members.
• Ability to balance hands-on technical contribution with delivery ownership and people leadership.
• Strong decision-making, analytical thinking, and structured problem-solving abilities.
• Client-facing confidence with the ability to communicate technical concepts clearly and influence stakeholders.
• Commitment to engineering excellence, innovation, knowledge sharing, and continuous improvement.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

What Working at EY Offers

At EY, we are dedicated to helping clients, from start-ups to Fortune 500 companies, address varied and meaningful challenges. Our focus on education, coaching, and practical experience supports your personal and professional development.

• Support, coaching, and feedback from engaging colleagues.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that is 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.