Trendyol9mo ago

Data Developer

Istanbul / MaslakFull-timemid

OtherData Developer

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Quick Summary

Overview

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.

Technical Tools

airflowbigquerydockergcpjavakafkakubernetespythonsqlterraformci-cdetlmicroservicesstreaming-data

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.

As a Data Developer, you will act as the bridge between raw data and meaningful business insights. You will create the infrastructure that powers our data-driven initiatives, building pipelines and systems that connect disparate data sources and ensure the seamless flow of information. You will play a key role in how we leverage data to make informed decisions by transforming, loading, and managing data so that it is reliable, accessible, and ready for analysis.

Architect and maintain efficient, reusable and reliable data systems.

Design data models and data warehousing solutions that support analytics and reporting across the business.

Collaborate with data scientists, analysts to understand data needs and deliver high-quality, trusted data products.

Optimize performance of data processes, including monitoring and troubleshooting jobs, managing resource consumption.

Enforce governance, security and compliance standards, including data quality, lineage, reliability.

Stay current with data technologies and recommend improvements to existing infrastructure and architecture.*

Bachelor's degree in Computer Science, Engineering, Management Information Systems, Mathematics or related field.

Proficiency in developing data pipelines and ETL/ELT workflows using python, spark or SQL.

Advanced SQL skills and familiarity with structured/unstructured data formats. (Parquet, Avro, JSON)

Deep understanding of data processing and optimization in cloud environments.

Experience with workflow management platforms. (Airflow preferred)

Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is preferred.

Experience with real-time data processing and streaming technologies.

Proficiency in at least one programming language. (python preferred)

Familiarity with modern data architectures including data lakes, data lakehouses and table formats (plus)

Experience with CI/CD pipelines, Git, and Infrastructure as Code (e.g., Terraform) preferred.

Working with AI technologies — including building and experimenting with AI agents, LLMs, and automation. — to create innovative data solutions (plus)

Familiarity with microservices architecture principal and patterns.

Our Technology Stack: Google Cloud Services, BigQuery, Git, CI/CD, Vertica, python, Java, Kafka, CDC, Airflow, n8n, Docker, Kubernetes

Able to communicate effectively in English, both verbally and in writing

Detail-focused with strong problem-solving and result-oriented skills