Senior Python Developer

Herglez

San Francisco (CA)

Hybrid

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Herglez is seeking a senior cloud data engineer to design and implement scalable data pipelines and modern cloud architectures for enterprise clients. You will build automation, optimize cost and security, and ensure real-time data processing capabilities.

The role requires 7+ years in cloud architecture, multi-cloud experience, and strong SQL/BI tooling skills to deliver data-driven insights for diverse stakeholders.

Qualifications

  • 7+ years cloud architecture experience and AWS/GCP certification.
  • Experience with multi-cloud environments and scalable data pipelines.
  • Proficiency in SQL and BI tools for data-driven insights.

Responsibilities

  • Build and maintain data pipelines and automation systems using Python and cloud services.
  • Design cloud architectures focusing on scalability, security, and cost optimization.
  • Design and build scalable data infrastructure, ETL pipelines, and real-time streams.
  • Collaborate with clients to translate business requirements into data solutions.

Skills

Data engineering
SQL
Cloud architecture
Spark
Kafka
Flink
Looker
Tableau
AWS/GCP certification
Multi-cloud

Tools

Python

Job description

Build and maintain data pipelines and automation systems using Python, cloud services, and modern data engineering practices.

Design and implement cloud architecture solutions for enterprise clients, focusing on scalability, security, and cost optimization.

Requirements:
  • AWS/GCP Professional certification
  • 7+ years cloud architecture experience
  • Experience with multi-cloud environments

Design and build scalable data infrastructure, ETL pipelines, and real-time streaming systems for high-volume applications.

Requirements:
  • 3+ years data engineering experience
  • Proficiency in Spark, Kafka, or Flink
  • Experience with data warehousing

Partner with clients to understand business requirements and translate them into technical solutions and data-driven insights.

Requirements:
  • 3+ years business analysis experience
  • Strong analytical and SQL skills
  • Experience with BI tools (Looker, Tableau)
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