Data Engineer (Snowflake)

TL;DR

Data Engineer (Snowflake): Developing and improving data warehouses and ETL/ELT pipelines with an accent on reliable data modeling and streaming integrations. Focus on building analytical data marts, optimizing SQL performance, and ensuring data quality for finance and compliance.

Location: Onsite in Limassol, Cyprus

Company

hirify.global is a fintech company providing advanced trading and brokerage services.

What you will do

• Develop and maintain batch ETL/ELT pipelines using Python, SQL, and Apache Airflow.
• Design and evolve data warehouse models, including fact tables, dimensions, and historical layers.
• Integrate data from trading platforms, relational databases, APIs, and logs.
• Build analytical data marts for reporting, finance, compliance, and anti-fraud.
• Implement data quality checks, reconciliation mechanisms, monitoring, and data lineage.
• Optimize SQL queries and storage structures for large volumes of data.

Requirements

• 5+ years of experience as a Data Engineer.
• Strong SQL skills and experience working with large datasets.
• Production experience with Python for data processing and automation.
• Deep understanding of data warehouse concepts and dimensional modeling.
• Hands-on experience with PostgreSQL, Snowflake, or similar databases.
• Knowledge of building reliable pipelines focusing on idempotency, retries, and backfills.

Nice to have

• Experience with financial, brokerage, or trading data.
• Experience with streaming systems such as Kafka, Flink, Redis, or ClickHouse.

Culture & Benefits

• Medical insurance for employees and their families.
• Access to professional training, conferences, and paid educational courses.
• Corporate language courses.
• Office perks including subsidized lunches and evening yoga classes.
• Regular corporate and sports events for employees and their children.