EPAM is seeking a highly skilled and motivated Senior Software Engineer to join our dynamic team.
This is a great opportunity for those who want to change their career in Data Engineering.
We are excited to offer a unique opportunity for professional growth through our Data Engineering Program, designed to enhance your expertise in cutting-edge technologies and propel you into exciting projects.
This program is tailored to equip you with cutting-edge data engineering skills, meeting current market demands.
Your expertise and enthusiasm are crucial to our team.
Join EPAM and embark on a journey of continuous learning and professional growth!
Data Engineering Program:
Comprehensive training under the guidance of a mentor focusing on mastering data engineering will be provided.
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Immediate employment benefits: You'll be a full-time, salaried EPAM employee during the 3-month training.
Post-training opportunities: Transition to exciting projects leveraging your enhanced skills.
Interactive learning: The course includes hands-on assignments, video content, study materials, quizzes, and exams.
Course Highlights:
Introduction to Docker, Kubernetes, and Big Data.
Deep dive into Hadoop, DevOps, Data Modeling, and Spark.
Exploration of Kafka, Elastic Stack, and various NoSQL technologies.
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
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Responsibilities
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Design and develop architecture for data storage solutions, ensuring they meet the needs of data retrieval, data security and performance requirements
- Write high-quality, well-documented code for various components of the data infrastructure, including ETL processes, database management, and data exploration and visualization tools
- Act as a mentor to junior data engineers, providing guidance and support as needed in the design and delivery of solutions
- Proven enterprise experience in Python
- Proficiency in cloud platforms such as Azure, AWS, or GCP
- Advanced command of Linux: adept in service configuration and scripting
- Fundamental understanding of containerization technologies including Docker and Kubernetes
- Solid database skills: expertise in SQL and relational algebra
- Basic networking knowledge: comprehension of networking fundamentals
- Experience with data manipulation libraries such as pandas
- Familiarity with NoSQL databases such as Elasticsearch, MongoDB, and Cassandra
- Practical knowledge in message streaming platforms like Kafka
- Experience with infrastructure as code (IaC) using Terraform
- Hands-on experience in LLM, NLP, MLOps, and RAG
- We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning, Get Abstract and O'ReillyFree
- English classes with certified teachers
- We cover it all:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)