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Zeta Global

Senior Software Engineer

Zeta Global · Bengaluru, Karnataka, India

Posted about 2 months ago

or apply directly on Zeta Global's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Zeta Global's roles stay open a median of 66 days
Reposted
No
Salary listed
No
54% of Zeta Global's roles list one
Ghost-job risk at Zeta Global
high
119 stale, 0 reposted of 143 open
Hiring momentum
174 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Zeta Global's own greenhouse board since 2026-08-03. Full hiring picture for Zeta Global.

About this role

As a Senior Software Engineer at Zeta Global, you will develop and maintain data platforms that handle large-scale data processing using Python-based microservices and ETL pipelines. Your responsibilities include designing scalable frameworks for data pipeline creation, optimizing services for batch and real-time data processing, and collaborating with various teams to ensure efficient data flows and integrations with ad tech platforms.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Zeta Global as an employer.

What you need

  • 5+ years in backend/data engineering building Python services and ETL pipelines for enterprise environments
  • Expert Python skills, including async I/O, concurrency, and service frameworks
  • Proven microservices experience with containers and orchestration (Docker, Kubernetes)
  • Robust SQL skills integrating with analytics warehouses such as Snowflake
  • Production-grade integrations with APIs, including rate-limit handling and retries
  • Deep observability practice using metrics, logs, and traces

Nice to have

  • Experience in leveraging Apache Spark for efficient processing and management of large-scale distributed data workloads
  • Strong understanding of modern Lakehouse architectures
  • Exposure to serverless data patterns (e.g., AWS Lambda/Step Functions)

Worth weighing

  • No salary listed
  • Focus on enterprise-grade data services may imply high expectations for performance and compliance
  • Role involves both technical and non-technical user empowerment, which may require strong communication skills

Summarised from Zeta Global's posting. Read the full original.

Listed by Zeta Global on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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