Back to SearchWe are seeking a Senior Data Software Engineer to join our dynamic team and play a pivotal role in building, optimizing, and maintaining data processing systems. This role requires strong expertise in ETL pipelines, Big Data frameworks, and cloud services to ensure efficient and reliable data processing and modernization efforts.
Responsibilities
- Build, optimize, and maintain ETL pipelines using Hadoop ecosystem tools (HDFS, Hive, Spark)
- Collaborate with cross-functional teams to design and implement efficient data workflows
- Perform data modeling, quality checks, and system performance tuning
- Contribute to modernization projects, including cloud and Databricks integration
- Leverage cloud services to enhance data infrastructure scalability and reliability
- Ensure compliance with best practices for data governance and security
Requirements
- 3+ years of experience in software engineering with a focus on data processing
- Proficiency in programming languages such as Java, Scala, or Python
- Expertise in data processing frameworks like Spark
- Hands-on experience with Big Data Hadoop frameworks, including Hive, Impala, Oozie, Airflow, and HDFS
- Experience with cloud services like S3, Athena, EMR, Redshift, Glue, or Lambda
- Familiarity with data and AI platforms such as Databricks
- Strong understanding of ETL pipeline development and optimization
- Experience in data modeling, quality assurance, and system performance tuning
- Effective collaboration and problem-solving skills
- B2+ English level
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