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Senior Data Engineer

Zingtree is the next gen, intelligent process automation platform that reimagines customer experience operations for top Customer Support leaders.
ArgentinaIndia
Data
Staff Software Engineer
Remote
101 - 500 Employees
5+ years of experience
Enterprise SaaS · Customer Support

Description For Senior Data Engineer

Zingtree, a leading intelligent process automation platform serving over 500 customers including global enterprises like Optum, Corpay, Sony, SharkNinja, and Allianz, is seeking a Senior Data Engineer to join their team. This role offers an exciting opportunity to design and build scalable data processing systems and analytics platforms that will directly impact the company's growing data infrastructure needs.

The position involves leading the development of robust, in-house data infrastructure solutions, working with cutting-edge technologies like Apache Druid, Spark, and Kubernetes. You'll be responsible for architecting new data processing frameworks, optimizing data pipelines, and implementing real-time analytics capabilities for clickstream data.

As a Senior Data Engineer, you'll collaborate closely with backend engineering teams in a modern tech stack including Go and Kubernetes. The role requires expertise in large-scale systems, data infrastructure design, and a strong background in database technologies and SQL optimization. Experience with cloud infrastructure (AWS), stream processing, and real-time analytics frameworks is essential.

The position offers attractive benefits including competitive compensation, equity options, comprehensive health insurance, unlimited PTO, and flexible remote work arrangements. With a $500 home office setup allowance and monthly stipends for internet and co-working spaces, Zingtree ensures you have the resources needed to work effectively from anywhere.

This is an ideal opportunity for an experienced data engineer who wants to make a significant impact in a growing company while working with modern technologies and helping shape the future of customer experience operations.

Last updated 8 hours ago

Responsibilities For Senior Data Engineer

  • Design and implement efficient data storage and processing solutions for large-scale datasets
  • Architect a new data processing framework to replace existing third-party solutions
  • Develop and optimize data pipelines for event data ingestion and processing
  • Implement real-time analytics capabilities for clickstream data
  • Work closely with backend engineering teams using Go in a Kubernetes environment
  • Optimize query performance and data access patterns for analytics platforms
  • Design and implement data models for business intelligence
  • Create comprehensive documentation and establish best practices
  • Provide architectural direction and mentor junior engineers

Requirements For Senior Data Engineer

Go
Kubernetes
Kafka
  • 5+ years in data engineering, with expertise in large-scale systems and data infrastructure design
  • Strong background in database technologies and SQL optimization
  • Experience designing data warehousing solutions
  • Knowledge of distributed computing platforms (Spark, Flink, or similar)
  • Experience with columnar databases and OLAP systems
  • Experience with cloud infrastructure, particularly AWS
  • Understanding of container orchestration with Kubernetes
  • Experience with stream processing and real-time analytics frameworks
  • Knowledge of Go programming (plus)
  • Experience with Kafka or similar message queuing systems
  • Strong problem-solving abilities
  • Strong communication skills

Benefits For Senior Data Engineer

Equity
Medical Insurance
Parental Leave
  • Competitive Compensation
  • Equity stock options
  • Comprehensive health insurance for employees and dependents
  • Provident Fund contributions
  • Generous Paid Parental Leave
  • Unlimited PTO
  • Flexible Remote Work
  • Home Office Stipend - $500 setup + $100 monthly
  • Co-working Reimbursement - up to $200 monthly

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