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 highly skilled and experienced Senior Python Developer to become an integral part of our innovative team.
In this role, you will design and sustain high-quality solutions at every stage of the Software Development Life Cycle (SDLC). This opportunity calls for a resourceful engineer who excels at addressing complex challenges and demonstrates an eagerness to learn and adapt to emerging technologies.
Create and manage cloud resources in AWS
Implement data ingestion processes for a variety of data sources, including technologies like RDBMS, REST HTTP APIs, flat files, streams, and proprietary time-series data
Develop data ingestion and processing pipelines using Big Data technologies
Process and transform data with Spark and cloud-based services while embedding crucial business logic
Build automated data quality validations to maintain data processing integrity and accuracy
Develop infrastructure to collect, transform, integrate, and distribute customer data effectively
Optimize and streamline processes for enhanced data collection, analytics, and visualization
Ensure scalability, reliability, and flexibility of data pipelines and associated analyses
Identify, analyze, and interpret complex data patterns and trends
Create frameworks with data visualization tools to provide actionable insights for stakeholders
Actively participate in Agile Scrum ceremonies as part of development teams
Generate well-structured reports and develop effective queries to share findings
Mentor junior colleagues and uphold best practices across the team
3+ years of data engineering experience within domains such as consumer finance, loans, collections, or similar fields
Background in math, statistics, computer science, data science, or related disciplines
Advanced knowledge of Python or Snowflake
Proficiency in using tools like HDFS, YARN, Hive, Spark, Kafka, Oozie/Airflow, AWS, Docker/Kubernetes, and Snowflake
Skills in programming languages (e.g., SAS, SQL, R, Python), database technologies (e.g., PostgreSQL, Redshift, Snowflake, Greenplum), and data visualization platforms (e.g., Tableau, Looker, MicroStrategy)
Showcase of flexibility to adopt and employ new technologies and tools effectively
Strong organizational and multitasking attributes supported by consistent adherence to deadlines
Expertise in business intelligence, analytics techniques, and modern methodologies
Proficiency in written and verbal communication in English (minimum B2 level), ensuring clarity when addressing non-technical stakeholders
AWS certification showcasing relevant expertise
Familiarity with Cassandra or MongoDB technologies
Proficiency in deploying CI/CD tools such as Jenkins, GitLab, or Jira/Confluence
Background in Go Language use
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 37,500 - 50,000
Basado en 10,972 ofertas de empleo
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