Data Engineer
Team: Data Management
Location: Istanbul / Maslak
Commitment: Full-time
Workplace Type: hybrid
Responsibilities
- Build and maintain scalable data pipelines for batch and real-time data processing.
- Build and maintain REST APls to serve processed and aggregated data to downstream applications and teams.
- Work with cloud-native data platforms to ensure reliable, cost-effective data processing solutions.
- 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, Java, or Go programming languages.
- Solid experience with at least one big data processing framework such as Apache Spark or Apache Flink.
- Experience with cloud-native data infrastructure to ensure reliable, cost-effective solutions.
- Familiarity with real-time data processing and streaming architectures for low-latency analytics.
- Familiarity with modern data architectures including data lakes, data warehouses, and lakehouses.
- Experience with workflow orchestration tools.
- Experience with RESTful APls.
- Strong proficiency in SQL for data manipulation, querying, and optimization.
- Experience with both SQL and NoSQL databases.
- Experience with testing frameworks, including unit testing and data quality validation for data pipelines.
- Experience with containerization technologies.
- Knowledge of 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, Go, SQL
- Big Data: Spark, Flink, Trino, Hive, Delta Lake, Iceberg
- Streaming & Messaging: Kafka
- Datastore: PostgreSQL, Redis, Druid
- Workflow Orchestration: Airflow
- DevOps & IaC: Kubernetes, GitLab, Terraform
- Cloud: GCP
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