LEAD DATA SOFTWARE ENGINEER

120.000.000 - 200.000.000


1 day 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 a skilled Lead Data Software Engineer to architect and guide the development of robust data pipelines for our cutting-edge data platform. You will take responsibility for technical leadership, strategy, and mentoring the team while actively transforming raw data into usable states. Your hands-on expertise with Python, Apache Airflow, and AWS, coupled with your ability to lead and influence, will drive impactful solutions. Responsibilities

Lead the development of data software engineering solutions and set technical direction for the team Own the end-to-end design, implementation, and optimization of scalable data pipelines and ETL processes Develop and guide the creation and maintenance of Apache Airflow DAGs for data transformation, processing, and orchestration Mentor and provide technical leadership to junior and mid-level engineers, sharing best practices and fostering growth Collaborate closely with cross-functional teams to align development efforts with organizational goals Define and enforce coding standards, architectural principles, and documentation for long-term maintainability Establish advanced monitoring, debugging, and fault-tolerant capabilities to ensure pipeline performance and data quality Advocate for and implement performance optimizations and reliability improvements in a cloud-based infrastructure Drive knowledge sharing and adoption of emerging tools and methods for modern data engineering practices

Requirements

5+ years of hands-on experience in data software engineering At least 1 year of relevant leadership experience Extensive experience using Python to develop scalable data transformation and processing logic Advanced expertise in Apache Airflow for designing, managing, and optimizing ETL/ELT processes Comprehensive knowledge of Amazon Web Services and its services for data engineering Strong understanding of scalable, distributed systems and modern cloud-based architectures Substantial experience with PostgreSQL, SQL-based data manipulation, and advanced database design Demonstrated ability to design and implement systems for monitoring, performance optimization, and fault tolerance Proficiency in applying agile methodologies and fostering collaborative development practices within teams Proven ability to lead by example, inspire technical teams, and align with long-term strategies Strong verbal and written communication skills in English, at least at a B2+ level, with the ability to present technical concepts to non-technical stakeholders

Nice to have

Extensive knowledge of OpenSearch for indexing and searching large datasets

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









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