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Data Engineer
Trendyol Group. Design, build, and maintain scalable batch and real-time data pipelines and processing systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and cloud-native data platforms, with strong proficiency in ETL/ELT processes and big data frameworks. Possesses advanced SQL skills and a solid understanding of data modeling and analytical structures.
Highest-signal resume keywords
Data Pipeline DevelopmentCloud-Native Data PlatformsETL/ELT ProcessesBig Data Processing FrameworksAdvanced SQL Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonScalaJavaSQLData ModelingETL/ELTBig Data FrameworksStreaming TechnologiesChange Data CaptureWorkflow Orchestration
Soft Skills
Problem-SolvingClear Communication
Tools & Technologies
DockerKubernetesCI/CDInfrastructure as CodeAutomated Testing
Industry Keywords
Data EngineeringDistributed SystemsParallel ProcessingFault-Tolerant ArchitecturesData LakesData WarehousesLakehousesAI/ML Data Infrastructure
Tech Stack
Tools & technologiesCloudDistributed SystemsDockerETLJavaKubernetesPythonScalaSparkSQLGo
About the role
Key responsibilities & impact- Design, build, and maintain scalable batch and real-time data pipelines and processing systems
- Design, build, and evolve cloud-native data platforms for data ingestion, processing, analytics, and observability
- Build APIs and data services exposing processed data to downstream applications and teams
- Develop data models and warehousing solutions for analytics, reporting, and downstream applications
- Collaborate with data scientists, analysts, product teams, and engineering teams to deliver trusted data products
- Monitor, optimize, and maintain pipelines and processing systems for performance, reliability, scalability, and cost efficiency
- Own data services and pipelines end-to-end, including deployment, monitoring, troubleshooting, and incident resolution
- Bridge raw data sources and actionable business intelligence
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, MIS, Mathematics, or a related field
- 2+ years of experience as a Data Engineer, Data Developer, or in a similar data-focused role
- Solid understanding of distributed systems, parallel processing, and fault-tolerant architectures
- Strong software engineering skills in at least one of Python, Scala, or Java; Go is a plus
- Hands-on experience with ETL/ELT processes and big data processing frameworks such as Spark or Flink
- Advanced SQL skills and experience with structured and semi-structured data formats
- Strong understanding of data modeling concepts and analytical data structures
- Experience developing cloud-native data platforms and modern data architectures, including data lakes, data warehouses, and lakehouses
- Experience with streaming technologies, Change Data Capture (CDC), and workflow orchestration
- Familiarity with AI/ML data infrastructure, LLM-based applications, RAG architectures, and semantic grounding for AI agents
- Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code
- Experience with automated testing, data quality validation, monitoring, and observability practices
- Strong problem-solving skills and clear written and verbal communication in English
Benefits
Comp & perks- Hybrid working model with flexibility, including work-from-abroad opportunities and a summer working model
- Customisable FlexBenefits budget, including meal allowance, health insurance extendable to spouse or children, fuel support, and Trendyol shopping credits
- Location-based in-house doctors, psychologist and dietitian support, and HPV vaccination provision
- Personalised annual training allowance and learning opportunities through the LMS and in-person sessions
- Responsibility from day one
- Diverse, international team environment
- Opportunities for professional growth, hands-on experience, expert guidance, and global mentoring
- Team rituals, events, and social activities