Job Opportunities in Poland

Duties and Responsibilities

• Lead the design and architecture of robust, scalable, and high-performance database solutions, with a particular emphasis on time-series data, OLAP, and OLTP databases.
• Evaluate and recommend appropriate SQL and No SQL database technologies (e.g., Postgre SQL, Time Scale, Cassandra, Apache Druid, Apache Pinot) based on project requirements.
• Design and implement data models that efficiently support a wide range of queries and data operations.

• Develop, optimize, and maintain complex SQL queries, stored procedures, and indexing strategies to improve database performance.
• Implement and manage time-series databases to handle high-frequency data ingestion and query processing.
• Optimize OLAP/OLTP databases for performance, scalability, and reliability, ensuring minimal latency for transactional and analytical workloads.
• Monitor and tune databases to ensure optimal performance, including query optimization, indexing, and storage management.

• Work with cloud backend engineering teams to design ETL pipelines that move and transform data efficiently across different storage systems.
• Implement data partitioning, sharding, and replication strategies to ensure high availability and scalability.
• Ensure data integrity, consistency, and security across all database systems.

• Collaborate with cross-functional teams, including AI Engineers, software engineers, and product managers, to understand data requirements and deliver database solutions that meet business needs.
• Provide technical leadership and mentorship to junior engineers, guiding them in best practices for database design, development, and management.
• Drive continuous improvement initiatives in database technologies, tools, and processes.

• Stay up to date with the latest advancements in database technologies, particularly in time-series and OLAP/OLTP systems.
• Experiment with and evaluate new database technologies and tools to enhance our data architecture and infrastructure.
• Contribute to the development of internal tools and frameworks to support database development and operations.

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in database engineering, with a strong focus on both SQL and No SQL databases.
• Proven expertise in designing and managing time-series databases (e.g., Timescale DB, Apache Druid, Apache Pinot, etc) and OLAP/OLTP systems with high scale
• Advanced proficiency in SQL, including query optimization, indexing, and stored procedure development.
• Strong experience with No SQL databases (e.g., Mongo DB, Cassandra, Scylla, etc) and their respective data modeling techniques.
• Deep understanding of time-series data concepts, architecture, and performance tuning.
• Experience with OLAP technologies and tools such as Apache Druid, Click House, or similar.
• Familiarity with cloud-based database services (e.g., AWS RDS, Google Cloud Big Query) and infrastructure as code (Ia C) tools (e.g., Terraform, Cloud Formation).
• Strong programming skills (e.g., Golang, Java, Scala, etc).
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Leadership qualities with a proven ability to mentor and guide junior team members.

Desired Skills and Experience

• Experience with streaming data platforms (e.g., Apache Kafka) and integrating them with time-series databases.
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) as they pertain to database deployment.
• Experience with real-time analytics and data warehousing solutions.

• Competitive compensation and equity program
• Health care plan (Medical, Dental & Vision)
• Flexible and Dependent Care Expense program
• Retirement plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Unlimited paid time off per year
• Hybrid office work-arrangement/flexibility

• Complimentary lunches, snacks and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

• Departmental team building and outings
• Employee Referral Program

• Peer Award Program (monthly)
• Innovative Award Program (annual)