Data Engineer: Streaming & Batch Pipelines (Hybrid)

Cisco Systems, Inc.

Kraków

On-site

PLN 180,000 - 280,000

Full time

5 days ago
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Job summary

Cisco Systems, Inc. is seeking a Data Engineer to design, implement, and maintain scalable data pipelines. You will work with senior engineers on streaming and batch processing, gaining hands-on experience with Spark, Flink, Pinot, and Iceberg in a hybrid setup based in Bratislava.

Collaboration with software engineers, product management, and data teams is essential to deliver high-quality analytics. You’ll participate in the full software lifecycle, improve observability, and leverage AI

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 3+ years of professional data engineering or software engineering experience.
  • Foundational knowledge of data processing frameworks (Spark, Flink) or distributed systems.
  • Strong understanding of software development concepts; eager to learn new tech.

Responsibilities

  • Design, implement, and maintain data pipelines for streaming and batch processing.
  • Develop and optimize data workflows using Pinot, Iceberg, Flink and Spark.
  • Participate in the full software development lifecycle: design, code reviews and testing.
  • Improve data pipeline performance, reliability, and observability; resolve issues.
  • Leverage AI coding tools to accelerate productivity and learning.
  • Collaborate with software engineers, product management, and data teams.
  • Participate in incident resolution and learn from production issues.

Skills

Data engineering
Python/Java/Scala
Spark/Flink
CI/CD
Cloud environments
Git
AI coding tools

Education

Bachelor's degree in CS/Engineering

Tools

Apache Pinot
Apache Iceberg
Flink
Spark
Python
Java
Git
CI/CD pipelines

Job description

Cisco Systems, Inc. is seeking a Data Engineer to design, implement, and maintain scalable data pipelines. You will work with senior engineers on streaming and batch processing, gaining hands-on experience with Spark, Flink, Pinot, and Iceberg in a hybrid setup based in Bratislava.

Collaboration with software engineers, product management, and data teams is essential to deliver high-quality analytics. You’ll participate in the full software lifecycle, improve observability, and leverage AI

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