Data Engineer

We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.

We are currently looking for a Data Engineer to join our Data Platform team. This team plays a crucial role in building and maintaining the company’s analytical platform, enabling data-driven decision-making across the business.

Our current team consists of:

• Data Engineers
• Team Leader

We follow Agile practices, with daily stand-ups at 12:00 PM (GMT+3), regular peer code reviews, and use tools like Slack, Google Meet, and Zoom for collaboration.

Tech Stack:

• Databases: Greenplum, PostgreSQL, Clickhouse
• ETL & Orchestration: Airflow, DBT
• Programming: Python, Scala
• Streaming & Messaging: Apache Kafka, Apache Flink
• BI & Visualization: Metabase
• Storage & Tools: S3, Datahub, Linux

Tasks:

• Integrate new data sources into the platform;
• Respond to internal user requests and incidents;
• Co-develop data marts in collaboration with analysts;
• Ensure the completeness and consistency of analytical data.

What We Expect From You:

• 1+ years in Data Engineering or 2+ years in Data Analytics;
• Working knowledge of relational databases (Greenplum, PostgreSQL, Oracle, MySQL, MS SQL);
• Solid understanding of DBMS and ETL concepts (ACID, normalization, CAP theorem, OLTP vs OLAP, scaling strategies);
• Proficiency in SQL and query optimization;
• Experience with Linux environments and Docker;
• Good Python skills (OOP, data structures, decorators, venv, PEP8);
• Experience with Airflow and message brokers like Kafka;
• BI tools experience;
• Fluency in Russian and English level B1 or just English B2 or above;
• Familiarity with NoSQL databases (Cassandra, Redis, Infinispan).

Nice to Have:

• Familiarity with NoSQL databases (Cassandra, Redis, Infinispan)
• Experience with GitLab CI/CD, Grafana, Ansible
• Knowledge of Flink, Spark, Scala, Kubernetes
• Formal education or certifications in Data Engineering or Data Science

What we offer:

• Full-time remote work model (Service Provider).
• Competitive remuneration.
• 20 paid days off annually.
• Flexible working hours.
• Training and development opportunities.
• A friendly, enjoyable, and positive work environment.