EPAM SystemsEPAM 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 and motivated Python Developer to join our innovative team.
In this role, you will contribute to designing and implementing solutions throughout the Software Development Life Cycle (SDLC). We are seeking an adaptable professional who is eager to learn and tackle technical challenges.
Create and manage cloud resources in AWS
Support data ingestion processes for various data sources, including technologies like RDBMS, REST HTTP APIs, and flat files
Assist in developing data pipelines using Big Data technologies
Collaborate on transforming data with Spark and cloud-based services while applying essential business logic
Contribute to automated data quality checks to ensure processing accuracy
Help in building infrastructure for collecting, transforming, and distributing customer data
Suggest enhancements to improve processes for data collection, analytics, and visualization
Assist with maintaining scalability, reliability, and flexibility in data pipelines
Support the analysis of data patterns and trends when required
Assist in creating visualizations to provide useful insights for stakeholders
Engage in Agile Scrum ceremonies within development teams
Support writing reports and queries to convey findings effectively
2+ years of experience in data engineering or related fields such as consumer finance or similar industries
Educational background in math, statistics, computer science, or related disciplines
Knowledge of Python or Snowflake
Foundation in tools like Hive, Spark, Kafka, Airflow/Oozie, AWS, and Docker/Kubernetes
Understanding of programming languages (e.g., SAS, SQL, R, Python), database technologies (e.g., PostgreSQL, Snowflake, Redshift), and data visualization tools (e.g., Tableau, Looker)
Willingness to learn new technologies and tools quickly
Organized and able to multitask with attention to deadlines
Familiarity with analytical techniques and methodologies
Good communication skills in English (minimum B1+ level), enabling clear interaction with non-technical stakeholders
Basic understanding of Spark Streaming
Exposure to ELK Stack tools
Knowledge of Cassandra or MongoDB technologies
Experience with CI/CD tools like Jenkins, GitLab, or Jira/Confluence
International projects with top brands
Work with global teams of highly skilled, diverse peers
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Volunteer and community involvement opportunities
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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Salario tipico para Software Engineer:
MXN 66,321 - 81,299
Basado en 9,761 ofertas de empleo
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