Senior BI Integration Engineer

  • Quadcode
  • Limassol, Cyprus
  • 23/06/2022
Full time Finance Forex Information Technology

Job Description

We are QUADCODE – a company, developing a trading SaaS platform for clients around the world.

We are currently looking for a SENIOR BI INTEGRATION ENGINEER for the DATA PLATFORM team.

ABOUT TEAM:

Data Platform is a team responsible for developing financial smart services, storage, processing master data and building a Data Mining and Data Governance culture in the Company.

Our goal is building integration of all data at the Company (currently >100 TB) and providing the best practices for generating quality requests to the team.

The team consists of 14 professionals: Data Engineer’s, Database Administrator’s, Big Data Administrator’s, Data Quality’s and a Team Leader.

TECH STACK:

  • BI: Tableau;
  • DBMS: PostgreSQL, Greenplum, Redis;
  • MQ: Kafka;
  • NoSQL & Big Data: Cassandra, Clickhouse, Hadoop;
  • Programming Languages: Python, Scala, Golang;
  • Frameworks: Flink, Spark;
  • Orchestration: Kubernetes;
  • Workflow manager: Airflow.

WHAT WILL YOU DO:

BI Engineer will be working with the team and building a strategy to integrate, develop and implement the business intelligence tools and elaborate culture of quality of requests for analysts.

In particular:

  • Create an MVP of analytics platform based on open-source tools;
  • Optimize Tableau legacy data extracts;
  • Prepare basic extracts, which can reused to avoid the doubling of data;
  • Develop Data Mining at the Company.

WHAT WE EXPECT FROM A CANDIDATE:

  • Experience in BI Engineer role 3+ years;
  • Experience in implementation, integration and administration BI systems (Tableau, Power BI, QlikView etc.);
  • Understanding how operating system Linux works;
  • Good knowledge of ETL processing (ACID transactions, Normalization, CAP theorem, OLTP vs OLAP, Horizontal vs Vertical scaling, Dimensional modeling);
  • Strong SQL knowledge (PostgreSQL as a plus);
  • Using some scripting languages (Python, Unix shell etc.);
  • Basic knowledge in algorithms and data structures;
  • English B1+.

AS AN ADVANTAGE:

  • Experience in DWH/ETL development;
  • Experience in Data Engineering;
  • Knowledge in BI open-source technologies (Apache Superset or Metabase, Redash, Virgilio etc.);
  • Knowledge in pl/pgSQL programming;
  • Experience in Airflow, Clickhouse, Flink/Spark, Gitlab ci/cd, Grafana, HDFS.

You'll have opportunities to grow to Head of Data Mining with us.