Lead Big Data Engineer
EPAM Systems
Lead Big Data Engineer Description
We are currently looking for an experienced Big Data Engineer.
Our client's engineering teams are engaged in the migration of data warehouses from the old MS SQL ecosystem (migration to AWS RDS) to Data Lake/Data Warehousing in native AWS services. Experience with the full range of AWS D/A services is a plus.
The remote option applies only to the Candidates who will be working from any location in Ukraine.
#LI-DNI
Responsibilities
- Develop data models for optimal storage and retrieval in the cloud, as well as to meet critical product and business requirements
- Build scalable and high-performance distributed data processing systems during cloud migration
- Work closely with our business partners to define requirements and ensure they are met
- Establish and develop data standards and best practices
- Adhere to and implement software development best practices
Requirements
- Bachelor's degree in Computer Science or related technical field; or relevant professional experience
- 5+ years of Python programming experience
- 2+ years of experience with enterprise cloud solutions (AWS is preferred)
- 2+ years of implementing data processing pipelines in the cloud (batch and/or streaming)
- In-depth understanding of SQL, relational and NoSQL databases
- Experience with various data access models, streaming technologies, data quality, data modeling, data performance, and cost optimization
- Knowledge of written and spoken English at Upper-Intermediate level and above (B2+)
Nice to have
- AWS Glue
- AWS Lake Formation
- Amazon QuickSight
- Amazon Redshift
- Data Warehousing
- NoSQL in BigData
We offer
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Consider relocation options in over 30 countries worldwide
- Participate in volunteer, charity programs and communities (both technical and interest-based)
- You can plan your individual career path together with your manager
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children
EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.