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.

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.

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

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year

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