شرکت معتبر

شرکت معتبر

استخدام Data Engineer برای شرکت اسنپ در تهران

(5 days ago)
شرکت معتبر تهران، تهران
نوع همکاری
تمام وقت
سفرهای کاری

شاخص‌های کلیدی از نظر کارفرما

دیپلم

شرح شغل و وظایف

استخدام اسنپ فود

 

مجموعه اسنپ فود در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می نماید:

Data Engineer
As a Data Engineer, you will design, build, and maintain scalable data infrastructure and pipelines that handle billions of records each day. You will ensure fast, reliable, and high-quality data flows across our lakehouse platform, supporting both streaming and batch processing. Your work will be essential in enabling dependable data access, powering analytics, and accelerating AI-driven initiatives across the organization Your Impact
Design and maintain large-scale ETL/ELT pipelines in Apache Flink, Ariflow and Spark for both streaming and batch workloads.
Build and optimize real-time streaming systems using Kafka.
Develop scalable ingestion frameworks for Delta Lake, Iceberg, and Hudi.
Manage and optimize Ceph-based object storage within our data lakehouse.
Oversee ClickHouse operations to ensure high-performance analytical querying.
Drive reliability, scalability, and cost efficiency across systems handling billions of daily records.
Deliver production-grade code in Python, Go, or Java.
Implement data quality, monitoring, and observability frameworks.
Collaborate with ML/AI teams to support model training, feature pipelines, and inference workflows.
Reduce data pipeline latency by implementing efficient streaming architectures.
Optimize storage costs while maintaining query performance across lakehouse layers.
What Powers Your Drive
3-5 years of experience in data engineering roles.
Strong proficiency in at least two programming languages: Python, Go, or Java.
Hands-on experience with Kafka and stream processing (Flink or Spark Streaming).
Solid understanding of Spark and distributed computing.
Experience with at least one lakehouse table format (Delta Lake, Iceberg, or Hudi).
Strong SQL skills and experience with analytical databases (ClickHouse or similar columnar databases).
Strong understanding of data modeling, data warehousing concepts, and ETL best practices
Experience with version control (Git) and CI/CD practices.
Strong problem-solving abilities and analytical thinking.
Excellent collaboration and communication skills.
Adaptability to rapidly evolving technology landscape.
What You’ll Drive Forward

متقاضیان واجد شرایط می توانند با کلیک روی لینک تکمیل فرم استخدام، رزومه خود را ارسال نمایند.

شرایط احراز شغل

سن
18 - 50 سال
جنسیت
فرق نمی کند
تحصیلات
دیپلم

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