Middle+/Senior Data Engineer

2 недель назад

Харьков, Харьковская область, Украина CodeIT Полный рабочий день 90 000 $ - 120 000 $ в год

Overview

CodeIT is a service product development company. We know how to transform business ideas into profitable IT products. We are looking for a skilled and experienced Middle+/Senior Data Engineer to join our team.

This is an E2E project focused on collecting player-level data across multiple brands, aimed at tracking revenue on various pages and gaining a better understanding of user behavior and trends. The vision is to establish a central source of truth for user journey insights, enabling smarter, faster, and more impactful decisions that drive commercial growth and product innovation

Required skills

  • 3+ years of experience as a Data Engineer or Software Engineer working on data infrastructure.
  • Strong Python skills and hands-on experience with SQL and Snowflake.
  • Experience with modern orchestration tools like Airflow and data streaming platforms like Kafka.
  • Understanding of data modeling, governance, and performance tuning in warehouse environments.
  • Ability to work independently and prioritize across multiple stakeholders and systems.
  • Comfort operating in a cloud-native environment (e.g., AWS, Terraform, Docker).
  • Python side: must have is experience in pulling and managing data from APIs, nice to have would be web scraping via browser automation (playwright / selenium / puppeteer for example)

Key Skills/What they'll be working on:

  • Design, build, and maintain ETL/ELT pipelines and batch/streaming workflows.
  • Integrate data from external APIs and internal systems into Snowflake and downstream tools.
  • Own critical parts of our Airflow-based orchestration layer and Kafka-based event streams.
  • Ensure data quality, reliability, and observability across our pipelines and platforms.
  • Build shared data tools and frameworks to support analytics and reporting use cases.
  • Partner closely with analysts, product managers, and other engineers to support data-driven decisions.

Responsibilities

  • Build connectors to external partners to harvest the data
  • Build custom functions to process the data
  • Integrate data into Snowflake and other reporting tools
  • Work cross teams and cross functions to provide good quality and speed of data
  • Champion and challenge existing solution to improve and optimize them even further

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