Data Engineer for Large-Scale Data Solutions
1 week ago
About Us
We're the fastest way to enhance contact center performance, leveraging our cutting-edge AI engine. With Observe.AI, you'll uncover valuable insights from 100% of customer interactions and optimize frontline team performance through coaching and end-to-end workflow automation.
Our innovative solution is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. We've raised $125 million in Series C funding led by Softbank Vision Fund 2, bringing 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 www.observe.ai.
The Opportunity
We're seeking an experienced Data Engineer to lead the design and development of scalable data solutions. This critical role involves building robust data pipelines, optimizing data systems, and enabling analytics across the organization. As a senior member of the team, you'll collaborate closely with cross-functional stakeholders and mentor junior engineers.
Job Description:
- Data Pipeline Development: Design, implement, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
- Data Infrastructure: Architect and optimize large-scale distributed data systems for performance, reliability, and scalability.
- Data Observability: Track and manage the lifecycle of data paths across the systems. Develop systems to measure and track quality, reliability, lineage, etc.
- Data Modeling: Develop and manage data models and schemas to support analytics and machine learning workloads.
- Code Quality: Write clean, maintainable, and efficient code following best practices for data engineering. Conduct code reviews and enforce coding standards.
- Collaboration: Work with data scientists, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.
- Mentorship: Guide and mentor junior engineers, fostering a culture of continuous learning and improvement.
- Innovation: Research and implement emerging technologies and practices in data engineering to improve efficiency and innovation.
Required Skills and Qualifications:
- Experience: 6+ years of professional experience in data engineering, with a strong focus on building large-scale data solutions.
- Programming: Proficiency in Go, and Java. Experience with building reusable frameworks powering for managing data and infrastructure.
- Frameworks: Expertise in data processing frameworks like Apache Spark, Kafka, or Flink.
- Cloud Platforms: Hands-on experience with cloud ecosystems (AWS, Azure, or GCP), including data services like S3, Redshift, BigQuery, or Snowflake.
- Databases: Strong understanding of relational and NoSQL databases (e.g., MongoDB, Cassandra, Amazon RDS).
- Tools: Proficiency in data orchestration tools such as Temporal or Airflow. Also, data cataloging tools like Amundsen and data observability mechanisms.
- Data Warehousing: Deep knowledge of modern data warehouse design and management.
- Version Control: Experience with Git and CI/CD pipelines.
- Soft Skills: Excellent problem-solving, communication, and collaboration skills.
Benefits:
- 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.).
Estimated Salary Range: $150,000 - $200,000 per year.
Our Commitment to Inclusion and Belonging: We're an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We strictly prohibit harassment of any kind and strive for a healthy and safe workplace. We welcome all people and celebrate diversity of all kinds, committed to creating an inclusive culture built on a foundation of respect for all individuals.
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