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).

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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.