We are looking for an experienced Senior Data Engineer to join our team. In this position, you will be responsible for creating and optimizing data solutions that empower business intelligence and analytics. You will work across teams to ensure data systems are reliable, accessible, and scalable, contributing to critical initiatives that drive organizational success. Responsibilities Build and maintain efficient data pipelines to enable seamless data transformation and processing Design scalable data infrastructures that support business analytics and reporting needs Partner with stakeholders to gather requirements and develop technical solutions that meet business goals Enhance and manage data workflows to ensure reliability and optimal performance Handle structured and unstructured data to facilitate smooth integration between various systems Monitor data systems, troubleshoot issues, and ensure data accuracy and consistency Implement security measures to safeguard sensitive data and maintain compliance with applicable regulations Perform code reviews to ensure adherence to best practices and high-quality deliverables Keep up to date with new technologies and trends to improve data engineering practices and solutions Requirements Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline A minimum of 3 years of hands-on experience as a data engineer with a strong focus on delivering scalable data solutions Advanced skills in Python for automation, scripting, and data processing Experience with Amazon Web Services (AWS) for building and managing cloud-based data systems Proficiency in Snowflake for managing data warehouses and supporting analytics workflows Strong expertise in SQL for data querying, transformation, and analysis in relational databases Familiarity with NoSQL databases for managing non-relational or semi-structured data Hands-on experience with CI/CD pipelines for automating data workflows and deployments Comprehensive knowledge of SDLC methodologies and experience applying them in data-related projects Practical experience working in Agile frameworks to deliver iterative and collaborative solutions Fluency in English (written and spoken) at a professional B2 level or higher Nice to have Experience using data visualization tools or libraries to support reporting and business insights Knowledge of machine learning or artificial intelligence models to enhance decision-making and analytics We offer/Benefits - International projects with top brands - Work with global teams of highly skilled, diverse peers - Healthcare benefits - Employee financial programs - Paid time off and sick leave - Upskilling, reskilling and certification courses - Unlimited access to the LinkedIn Learning library and 22,000+ courses - Global career opportunities - Volunteer and community involvement opportunities - EPAM Employee Groups - Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn