Data Engineering Leader for Scalable Solutions
13 hours ago
Observe.AI is the pioneering force in boosting contact center performance with live conversation intelligence. Built on the most accurate AI engine, we uncover insights from 100% of customer interactions and maximize frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.
We are trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our $125 million Series C led by Softbank Vision Fund 2 brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit [our website].
The OpportunityWe seek an experienced and highly skilled Data Engineer to lead the design and development of scalable data solutions. This role is critical in building robust data pipelines, optimizing data systems, and enabling analytics across the organization. As a senior member of the team, you will collaborate closely with cross-functional stakeholders and mentor junior engineers.
Responsibilities- Design, implement, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
- Architect and optimize large-scale distributed data systems for performance, reliability, and scalability.
- Track and manage the lifecycle of data paths across systems. Develop systems to measure and track quality, reliability, lineage, etc.
- Develop and manage data models and schemas to support analytics and machine learning workloads.
- Write clean, maintainable, and efficient code following best practices for data engineering. Conduct code reviews and enforce coding standards.
- Work with data scientists, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.
- Guide and mentor junior engineers, fostering a culture of continuous learning and improvement.
To be successful in this role, you must have:
- 6+ years of professional experience in data engineering, with a strong focus on building large-scale data solutions.
- Proficiency in Go and Java. Experience with building reusable frameworks for managing data and infrastructure.
- Expertise in data processing frameworks like Apache Spark, Kafka, or Flink.
- Hands-on experience with cloud ecosystems (AWS, Azure, or GCP), including data services like S3, Redshift, BigQuery, or Snowflake.
- Strong understanding of relational and NoSQL databases (e.g., MongoDB, Cassandra, Amazon RDS).
- Proficiency in data orchestration tools such as Temporal or Airflow. Also, data cataloging tools like Amundsen and data observability mechanisms.
- Degree in Computer Science, Engineering, or a related field.
We offer a comprehensive benefits package, including:
- Excellent medical insurance options and free online doctor consultations.
- Yearly privilege and sick leaves as per Karnataka S&E Act.
- Generous holidays (National and Festive) recognition and parental leave policies.
- Learning & Development fund to support your continuous learning journey and professional development.
- Fun events to build culture across the organization.
- Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.).
We are an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. We also strive for a healthy and safe workplace and strictly prohibit harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
Estimated salary range: $120,000 - $180,000 per year
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