آگهی‌های استخدامی

استخدام Software Engineer (Data Engineering)

تپسی | TAPSI
تهران، تهران

شرح موقعیت شغلی



About the Role

Ripple is our centralized Customer Data Platform (CDP) and event-tracking engine at Tapsi. It serves as the backbone for Tapsi Group and its subsidiaries, powering high-throughput event ingestion, marketing automation triggers, and near-real-time analytical query serving at scale.

As a Data Engineer (Mid-Level) on the Growth Engine team, you will contribute to the design, development, and operation of our distributed streaming, storage, and lakehouse infrastructure. You will work on high-throughput pipelines, data processing systems, and cluster operations that support event ingestion, data quality, and analytical workloads across the group.


Responsibilities

  • Data Infrastructure & Operations: Help deploy and operate robust data infrastructure across environments, including tools such as Kafka, StarRocks, Iceberg, and Airflow on Kubernetes.
  • Lakehouse & Data Warehouse Architecture: Contribute to building and optimizing our lakehouse footprint using technologies such as Apache Iceberg, HDFS/Object Storage, and StarRocks or similar OLAP systems.
  • Workflow Orchestration & Batch Pipelines: Design, implement, and maintain reliable batch and maintenance pipelines using Apache Airflow.
  • Stream Processing & Ingestion: Build and maintain low-latency streaming services in Go, Kotlin, or Java that consume from Kafka and feed downstream systems.
  • Schema Governance & Data Quality: Work with schema-registry pipelines such as Avro/Protobuf, validation rules, and dead-letter queue handling.
  • Cross-Cluster Routing & Replication: Support event routing and replication workflows across clusters and environments.
  • Performance Tuning & Observability: Help monitor and tune data pipelines and systems using Prometheus, Grafana, and OpenTelemetry.
  • Technical Collaboration: Participate in RFCs, design discussions, and implementation reviews while following engineering best practices.

Requirements

  • Experience: 3+ years of experience in Data Engineering or distributed backend systems.
  • Programming & Systems: Strong proficiency in Go, Kotlin, or Java, with a good understanding of concurrency and writing maintainable code.
  • SQL & Database Expertise: Solid SQL skills, including joins, CTEs, and window functions, plus experience with RDBMS systems such as PostgreSQL or MySQL.
  • Distributed Streaming: Hands-on experience with Kafka or similar distributed streaming platforms.
  • Lakehouse & Modern Storage: Familiarity with data lakehouse or warehouse technologies such as Apache Iceberg, HDFS, StarRocks, ClickHouse, or Druid.
  • Workflow Orchestration: Experience developing or debugging workflows in Apache Airflow.
  • Infrastructure & Cluster Ops: Working knowledge of Kubernetes, Helm, and Linux environments.
  • Data Modeling & Schemas: Familiarity with Avro or Protobuf and the basics of schema evolution and event-driven modeling.
  • Spark & Flink: Familiarity with Apache Spark and Apache Flink for batch and stream processing.
  • Mindset: Strong ownership, curiosity, and a practical approach to reliability and performance.

Nice to Have

  • Experience with CDP or marketing automation pipelines.
  • Familiarity with BI/visualization tools such as Apache Superset.
  • Exposure to GitOps workflows such as ArgoCD or Flux.
  • Experience with Terraform or other infrastructure provisioning tools.
 

مهارت‌های مورد نیاز

  • Data
  • MySQL
  • Software Engineering

حداقل سابقه کار

  • کمتر از سه سال

جنسیت

  • مهم نیست

وضعیت نظام وظیفه

  • مهم‌ نیست

نوع همکاری:

تمام وقت

دسته‌بندی شغلی:

وب،‌ برنامه‌نویسی و نرم‌افزار

تاریخ انتشار آگهی:

۱۴۰۵/۰۵/۲۸

مشاغل مشابه

ارسال رزومه