Data Engineer
About the Team
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:• 3 Data Engineers• 1 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, ClickhouseETL & Orchestration: Airflow, DBTProgramming: Python, ScalaStreaming & Messaging: Apache Kafka, Apache FlinkBI & Visualization: MetabaseStorage & 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:
- Remote work model;
- Competitive remuneration;
- Friendly, enjoyable and positive environment.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
Originally posted on Himalayas
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