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 position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.
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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 own 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, O'Reilly
- Free English classes with certified teachers
- Discounts in local language schools, including online courses for the Kazakh language
- We cover it all: :
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Medical & family care package
- Six trust days per year (sick leave without a medical certificate)
- Coverage of psychology sessions of your choice
- Benefits package (sports activities, a variety of stores and services)