Intetics

Mid-Level/Senior Data Engineer

Intetics

full-time

Posted on:

Origin:  • 🇺🇦 Ukraine

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Job Level

Senior

Tech Stack

AirflowAWSCloudDockerETLKafkaPythonSQLTerraform

About the role

  • Build an E2E Data Platform that collects player-level data for brands to become the central source of truth
  • Build connectors to external partners to harvest and process data
  • Develop custom functions and transformation logic
  • Integrate data into Snowflake and downstream analytics/reporting platforms
  • Design, build, and maintain ETL/ELT pipelines and batch/streaming workflows
  • Own critical parts of the Airflow-based orchestration layer and Kafka-based event streams
  • Ensure data quality, reliability, and observability across pipelines
  • Build reusable data tools and frameworks for analytics and reporting use cases
  • Collaborate cross-functionally with analysts, PMs, and engineers to deliver high-quality data
  • Continuously improve, optimize, and challenge existing solutions

Requirements

  • 5+ years of experience as a Data Engineer or Software Engineer working with data infrastructure
  • Strong Python skills, with hands-on experience in SQL and Snowflake
  • Experience integrating data from APIs (must-have)
  • Knowledge of Airflow (or similar orchestration tools) and Kafka (or similar streaming platforms)
  • Solid understanding of data modeling, governance, and performance tuning in warehouse environments
  • Hands-on experience with cloud-native environments (AWS preferred), including Terraform and Docker
  • Ability to work independently and prioritize tasks across multiple stakeholders