Lead Data Analytics Engineer

Cisco

Kraków

Hybrid

PLN 180,000 - 300,000

Full time

2 days ago
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Job summary

Cisco's Webex Engineering Group is seeking a Data Analytics Lead to define the technical roadmap for the Partner Hub analytics platform and to design scalable data architectures. You will drive high-scale data pipelines and mentor teams to deliver secure, performant analytics capabilities.

Collaborating with product management and leadership across a global organization, you will apply Spark, Flink, Pinot, and Iceberg to power predictive analytics and data-driven decisions in a hybrid work

Qualifications

  • Bachelor’s or Master’s degree in CS/Engineering or related field.
  • Extensive data engineering experience leading large-scale data infra projects.
  • Proficient with Spark and/or Flink and streaming architectures.
  • Strong data modeling and optimization for analytical systems.

Responsibilities

  • Define and complete the long-term technical strategy, setting architectural standards for the Partner Hub Analytics platform.
  • Lead the design and delivery of scalable, high-performance data pipelines applying Spark, Flink, Pinot, and Iceberg.
  • Provide high-level technical guidance and mentorship to engineering teams, encouraging excellence and growth.
  • Collaborate with product management to translate complex business requirements into robust data solutions.
  • Establish data quality, observability, and reliability standards for platform stability.
  • Anticipate data engineering trends and evaluate new technologies to maintain success.

Skills

Spark
Flink
Data modeling
SQL
Data pipelines
Mentoring

Education

Bachelor's or Master’s degree in CS/Engineering

Tools

Apache Pinot
Apache Iceberg
Spark
Flink
AWS
GCP
Azure

Job description

Cisco's Webex Engineering Group is seeking a Data Analytics Lead to define the technical roadmap for the Partner Hub analytics platform and to design scalable data architectures. You will drive high-scale data pipelines and mentor teams to deliver secure, performant analytics capabilities.

Collaborating with product management and leadership across a global organization, you will apply Spark, Flink, Pinot, and Iceberg to power predictive analytics and data-driven decisions in a hybrid work

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