Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior Data Software Engineer to combine hands-on engineering with technical leadership across complex data projects. The role focuses on shaping scalable data architecture, building ETL/ELT and streaming infrastructure, guiding delivery, coordinating stakeholders, and supporting production deployments.
Responsibilities
- Architect and maintain the code base for ETL and ELT pipelines, along with large batch, micro-batch, and streaming systems
- Build the infrastructure required for optimal extraction, transformation, and loading of data from diverse sources using ADF, Spark, Kafka, or similar technologies
- Identify, design, and implement internal process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for greater scalability
- Design and implement data services solutions using technologies such as Spring Boot, ReactJS, NoSQL, and related UI and API tools
- Ensure governance of delivery management and production processes according to the selected delivery model
- Act as the single point of responsibility for delivery-related matters with top management and stakeholders, including escalations, upsells, and ramp-downs
- Provide technical leadership for delivery, ensuring a sound and future-proof architecture is planned and implementation meets required quality standards
- Write user stories and associated acceptance criteria within an agile/scrum workflow
- Coordinate across multiple disciplines and stakeholders to align delivery efforts
- Ensure projects are delivered in line with customer processes and methodologies, with strong familiarity in various delivery models and a focus on agile approaches
- Establish a continuous delivery risk management strategy that supports proactive decisions and actions throughout the delivery lifecycle
- Measure and improve delivery productivity over time
- Serve as a consultant to Data Engineers, supporting quality and timely delivery of their work
- Perform production support and deployment activities
Skills
- - A minimum of 3 years of relevant experience
- - Strong core Python skills for data engineering tasks
- - Proficiency in SQL for data manipulation and querying
- - Experience with Apache Spark for large-scale data processing
- - Familiarity with Anthropic Claude Code
- - Experience with Databricks for data engineering and analytics workflows
- - Excellent English proficiency (B2 level or higher)
- - Experience with Apache Kafka for event streaming
- - Familiarity with Java
- - Experience with PySpark
- - Familiarity with Scala
- - Experience with Spark Streaming
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
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