
Senior Data Engineer (PySpark, NoSQL)
EPAM Systems (Poland) sp. z o.o.
Kraków
Kraków, Lesser Poland
B2B
PySpark
NoSQL
Cosmos DB
Cassandra
DynamoDB
Azure
ETL
data pipelines
Spark
cloud-based troubleshooting
Status
Hexjobs Insights
Senior Data Engineer role focusing on NoSQL databases and PySpark. Responsibilities include data pipeline design, performance tuning, and collaboration with teams. Requirements: 5+ years experience, strong NoSQL and PySpark skills.
Słowa kluczowe
PySpark
NoSQL
Cosmos DB
Cassandra
DynamoDB
Azure
ETL
data pipelines
Spark
cloud-based troubleshooting
Benefity
- Flexible schedule and remote working opportunities within Poland
- Chance to work abroad for up to 60 days annually
- Unlimited access to LinkedIn Learning and other educational platforms
- Participation in the Employee Stock Purchase Plan
- Benefits package (health insurance, multisport, shopping vouchers)
Technologies we use
About the project
Your responsibilities
- Provide end-to-end support for NoSQL databases, including monitoring, troubleshooting, and performance tuning
- Design and optimize large-scale data pipelines using PySpark
- Work with distributed NoSQL technologies (e.g., Cosmos DB, Cassandra, DynamoDB, or other production-grade systems)
- Build and maintain scalable ETL/ELT workflows in Azure environments
- Troubleshoot and resolve production issues related to performance, latency, and availability
- Optimize Spark jobs (partitioning, execution plans, resource usage)
- Implement best practices for scalability, security, and data reliability
- Collaborate with cross-functional teams to support data-driven solutions
- Contribute to automation and operational improvements
- Maintain documentation and participate in production support rotations
Our requirements
- 5+ years of experience as a Data Engineer or similar role
- Strong hands-on experience with PySpark in production (transformations, tuning, optimization)
- Solid experience with distributed NoSQL databases (e.g., Cosmos DB, Cassandra, DynamoDB, or similar)
- Strong understanding of Spark architecture and performance optimization
- Experience building scalable data pipelines in Azure
- Knowledge of NoSQL data modeling and cloud-based troubleshooting
- Strong analytical and problem-solving skills
- Ability to work effectively in high-availability environments
- Strong communication skills (English B2+)
Optional
- Experience with code generation, including non-AI and AI-assisted approaches
- Exposure to Data Science workflows
- Experience with Big Data platforms and distributed systems
- Knowledge of financial instruments and financial services data
- Hands-on experience with industry-standard LLMs (including GPT, Claude, or similar)
This is how we work on a project
Development opportunities we offer
What we offer
- Engineering community of industry professionals
- Friendly team and enjoyable working environment
- Flexible schedule and opportunity to work remotely within Poland
- Chance to work abroad for up to 60 days annually
- Business-driven relocation opportunities
- Outstanding career roadmap
- Leadership development, career advising, soft skills, and well-being programs
- Certification (GCP, Azure, AWS)
- Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
- English language classes
- Stable income (Employment Contract or B2B)
- Participation in the Employee Stock Purchase Plan
- Benefits package (health insurance, multisport, shopping vouchers)
- Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
- Referral bonuses
- Corporate, social and well-being events
Benefits
Wyświetlenia: 1
| Opublikowana | 4 dni temu |
| Wygasa | za 26 dni |
| Rodzaj umowy | B2B |
| Źródło |
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