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Data Engineer

30+ days ago 2026/07/30
Other Business Support Services
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Job description

About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.
About the Role
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.

Responsibilities


  • Build and maintain scalable data pipelines for batch and real-time data processing.
  • Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions
  • Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams
  • Collaborate with cross-functional teams to define data architecture and infrastructure requirements
  • Monitor and improve pipeline performance, scalability, and resilience

Expected Qualifications


  • Bachelor's degree in Computer Science, Engineering or related Information Technologies field
  • 2+ years of experience as a Data Engineer or in a similar data-focused role
  • Strong Software Engineering skills
  • Experience with Scala or Java programming language
  • Experience with Go programming language is a plus
  • Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium
  • Experience with big data processing frameworks such as Apache Spark
  • Familiarity with real-time data processing and streaming architectures for low-latency analytics
  • Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)
  • Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect
  • Strong proficiency in SQL for data manipulation, querying, and optimization
  • Experience with RESTful APIs
  • Experience with both RDBMS and NoSQL databases
  • Experience with testing frameworks, including unit testing and data quality validation for data pipelines
  • Experience with containerization technologies such as Docker and Kubernetes
  • Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices
  • Strong problem-solving skills and the ability to work independently and collaboratively
  • Strong English communication skills, written and verbal

Tech Stack


  • Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
  • Data Integration: Kafka Connect, Debezium
  • Data Processing: Apache Spark
  • Streaming & Messaging: Apache Kafka
  • Workflow Orchestration: Apache Airflow
  • DevOps & Infrastructure: Docker, Kubernetes, GitLab CI, Terraform
  • Version Control: Git

This job post has been translated by AI and may contain minor differences or errors.
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