EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Join our dynamic team as a Senior Data Engineer, where you will work independently and collaboratively to deliver high-quality data integration solutions.

Your expertise in investment financial data and agile methodologies will be crucial as you engage with cross-functional teams to enhance our trading platform and reporting capabilities. If you are driven to succeed and ready to make an impact, we invite you to apply.

Responsibilities

Collaborate with the Product Owner, Scrum Master, Subject Matter Experts and Development team to define and analyze user stories tracked in Jira
Participate in the design, development, and implementation of software solutions using a modern technology stack
Demonstrate solutions and articulate business value to business partners during sprint showcases
Engage actively in configuration to support data integration efforts
Work independently when required while maintaining a collaborative team spirit
Utilize agile methodologies to iteratively deliver high-quality products
Contribute to the continuous improvement of the data engineering processes

Requirements

Bachelor’s degree in a technical discipline or equivalent professional experience
Minimum 3 years of experience as a professional Data Engineer
Expertise in SQL, including programming views, stored procedures, and functions
Background in data modeling with a strong emphasis on best practices
Proficiency in Snowflake for data warehousing and analysis
Understanding of data warehouse fundamentals and architecture
Familiarity with Amazon Web Services and its data-related services
Experience in Python, particularly with ETL tools like Pandas and NumPy
Capability to implement and maintain CI/CD pipelines using BitBucket/GitHub and Bamboo
Fluency in English

Nice to have

Experience with financial systems and reporting, particularly in investments accounting or general ledger
Knowledge of integrating large-scale financial investment or ERP systems
Demonstrated experience delivering data solutions via agile methodologies using AWS resources such as S3, Glue, Athena, and Lambda
Familiarity with business intelligence tools and reporting solutions
Experience in agile software development practices including story sizing and sprint planning

We offer