6 days ago Be among the first 25 applicants 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. We are looking for an experienced Senior Data Integration Engineer to join our team. As a Senior Engineer with 3+ years of relevant production experience, you will play a key role in designing, developing, and implementing data integration solutions. You will leverage your expertise in ETL/ELT solutions, Azure Data Lake Storage, Databricks, Azure Data Factory, MySQL, PostgreSQL, MS SQL.SQL, Oracle, SQL, and Python to deliver high-quality and scalable data integration processes. If you thrive in a challenging environment and have a passion for data integration, we want to hear from you. Responsibilities Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines Collaborate with stakeholders to gather and analyze data integration requirements Provide technical guidance and mentorship to junior team members Ensure data quality and consistency across integrated systems Optimize data integration workflows for performance and scalability Troubleshoot and resolve complex data integration issues Stay up-to-date with industry trends and emerging technologies in data integration Requirements Bachelor's degree in Computer Science, Information Systems, or a related field 3+ years of relevant production experience in data integration In-depth knowledge of ETL/ELT solutions and data integration best practices Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle Expert-level skills in SQL and Python for data manipulation and transformation Solid understanding of data modeling and database design principles Proven track record of successfully delivering complex data integration projects Strong problem-solving and analytical skills Excellent communication and leadership abilities B2+ English level Nice to have Experience with cloud-based data integration platforms such as AWS Glue or Google Cloud Dataflow Familiarity with big data technologies like Hadoop and Spark Knowledge of data warehousing concepts and tools Understanding of data governance and data management practices Ability to architect and implement real-time data integration solutions We offer 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 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at EPAM Systems by 2x Sign in to set job alerts for “Senior Data Engineer” roles. Bogota, D.C., Capital District, Colombia 4 weeks ago Bogota, D.C., Capital District, Colombia $24,000.00-$36,000.00 4 days ago Bogota, D.C., Capital District, Colombia 2 weeks ago Senior Software Engineer (LATAM - Colombia, Argentina) Bogota, D.C., Capital District, Colombia 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr