Senior Data Engineer
3 months ago
About Us:
Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Supported by leading venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from top experts. In complex service environments—such as high-tech devices, manufacturing, and medical devices—Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai.
Why Join Us:
At Neuron7.ai, you’ll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries.
About the Role
We are building a real-time analytics platform to improve uptime of connected devices while minimizing maintenance costs. This will involve collecting & analyzing large volumes of sensor data and enabling observability & predictive analytics.
We are seeking a highly skilled Senior Data Engineer with expertise in building and maintaining scalable, high-performance data architectures. The ideal candidate will have hands-on experience with modern data engineering tools and technologies such as Python, Scala, ELT processes, Lakehouse architecture, Spark, Databricks, real-time data streaming systems like Kafka and Flink, and observability tools such as ELK stack, Prometheus, Grafana. You will be responsible for developing and optimizing large-scale data pipelines, ensuring the availability and performance of data systems, and supporting advanced analytics and machine learning initiatives.
If you are passionate about building systems from scratch, solving complex data challenges, and pushing the boundaries of what is possible with big data, this role is for you.
What You’ll Do:
- Development and implementation of advanced data models to extract insights from complex datasets.
- Collaborate with cross-functional teams to devise data-driven solutions for service optimization.
- Conduct experiments and analyses to enhance service predictions and outcomes.
- Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.
- Mentor junior data scientists and foster a collaborative team environment.
What We’re Looking For:
- 6+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.
- Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.
- Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.
- Experience with real-time streaming systems such as Kafka and Flink.
- Experience in working with large datasets and high-throughput data environments.
- Familiarity with cloud platforms like Azure, GCP, or AWS.
- Strong problem-solving skills and ability to work in fast-paced environments.
- Excellent communication and collaboration skills.
What We Do and Value:
At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.
Company Perks & Benefits:
Competitive salary, equity, and spot bonuses.
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