zingly.ai
Website:
zingly.ai
Job details:
About Zingly
At Zingly, we’re creating the next generation of AI-powered systems that transform how businesses build relationships with their customers. Our platform enables companies to deploy intelligent workflows and AI agents that integrate deeply with their existing tools, data, and processes.
We believe the future of AI is not just in models — it’s in how those models are applied inside real-world systems and how they support human relationships. That’s where you come in.
We are looking for individuals who also are passionate about relationships - and if your skills follow your passions, you are in the right place. Our team is globally distributed and we welcome diverse backgrounds and perspectives. Creating an environment that is challenging, creative and focused on your growth is a top priority at Zingly. We put people first, inside and outside of work.
Why Zingly
- Join a high-growth, founder-led company with a track record of building and scaling successful businesses, including public companies.
- Be a part of a world-class, passionate and highly motivated team shaping the future of customer engagement at a global scale.
- Solve complex, real-world problems across diverse industries - from finance, to health care, travel, and more.
- Thrive in an environment that rewards great craftsmanship, creativity and ambition.
- Create solutions at the intersection of customer impact and product innovation.
- High ownership, autonomy, and opportunity to shape the company’s direction & culture for years to come.
Senior Data Engineer
We are looking for a Senior Data Engineer with 8+ years of experience in building and supporting highly scalable distributed databases. This position needs at least 3-4 hours to overlap with the PST timezone.
Opportunities for Impact:
- Shape how billions of people experience customer engagement across the entire lifecycle (pre- and post-sale)
- Design and build a scalable data platform powering AI and GenAI models
- Develop a robust, all-in-one customer engagement platform used by hundreds of millions of users and thousands of brands
- Build and maintain cloud-based data pipelines, including ingestion, cleaning, transformation, and integration
- Design and implement large-scale ETL pipelines to support machine learning and analytics
- Develop real-time data streaming systems for live reporting and automated actions
- Ensure data quality, reliability, scalability, and performance across the platform
- Select and integrate modern big data tools and frameworks
- Partner with data and AI engineers to develop and support data models for analytics and ML
About you:
- You ship fast: pre-scoped tasks in 7 days, pre-defined goals in one sprint.
- Driven and determined to do your best, at everything you do
- Passionate about creating the best user experience possible, on schedule
- Independent but collaborative, clearly communicating and working across design, product, and engineering teams
- Team player, quick to help others, even when it's not part of your core role
- Always curious and excited to learn new things, looking for feedback and opportunities to grow
- Proactive, anticipating what's around the corner, both in our own product and the bigger industry
- Innovative and not afraid to (respectfully) question status quo; out of the box thinker
- Leader in character and skill set, setting the bar high for yourself and others
Preferred Experience:
- 8+ years of experience in data engineering and building big data solutions
- Proficiency with Big Data ecosystem - Spark (PySpark), HDFS, HIVE, NoSQL, and modern Cloud Data lakes (Cloudera Data Platform or Databricks Deltalake)
- Strong knowledge of AWS data platform and tools (e.g. Parquet, Avro & QuickSight, Glue, Athena, Datalakes, Lambda etc)
- Strong knowledge of DynamoDB and Postgres
- Strong SQL expertise, optimizing complex joins and database concepts
- Strong programming development experience in languages like Python and Java
- Experience with building stream-processing systems using Spark-Streaming
- Experience with Unix/Shell or Python scripting
- Experience of developing REST API interface
- Knowledge of AI/ML and MLOps
- Excellent problem solving and troubleshooting skills
- Excellent understanding of computer science fundamentals, data structures, and algorithms
- Communicates effectively (written and verbal) in English
- Experience of Kafka and Splunk
- Machine learning tools experience
Click on Apply to know more.