Senior Data Engineer
Description For Senior Data Engineer
Neuron7.ai is an innovative AI-first SaaS company that's revolutionizing service intelligence through their category-defining product. Backed by leading Silicon Valley VCs, they're focused on empowering enterprises to make data-driven service decisions at scale. They're building a real-time analytics platform for improving device uptime while minimizing maintenance costs.
As a Senior Data Engineer, you'll be instrumental in developing and maintaining scalable, high-performance data architectures. The role involves working with cutting-edge technologies including Python, Scala, ELT processes, Lakehouse architecture, Spark, Databricks, and real-time streaming systems. You'll be responsible for building large-scale data pipelines, ensuring system performance, and supporting advanced analytics initiatives.
The ideal candidate should have 4+ years of experience in data engineering, with deep expertise in building large-scale data systems. Strong knowledge of Python, Scala, and big data technologies is essential. You'll work in a dynamic, innovative environment where creativity and collaboration are valued, with opportunities to mentor junior team members and make significant contributions to the platform's development.
The company offers competitive compensation including equity, comprehensive benefits, and flexible work arrangements. Located in Bengaluru, Neuron7.ai maintains a strong commitment to diversity and inclusion, making it an ideal workplace for professionals looking to make an impact in the AI and service intelligence space.
Responsibilities For Senior Data Engineer
- 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
- Mentor junior data scientists and foster a collaborative team environment
Requirements For Senior Data Engineer
- 4+ years of experience in data engineering, with focus on building large-scale data systems
- In-depth knowledge of ELT processes and Lakehouse architecture
- Expertise in Python and Scala for data pipeline development
- Experience with Apache Spark and Databricks for big data processing
- 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
Benefits For Senior Data Engineer
- Competitive salary and equity
- Spot bonuses
- Paid sick leave
- Latest MacBook Pro for work
- Comprehensive health insurance
- Paid parental leave
- Flexible work arrangements
