Data Engineering Leader for Scalable Data Solutions

12 hours ago


Bengaluru, Karnataka, India Observe Full time

About Observe.AI

We are the fastest way to boost contact center performance with live conversation intelligence. Our AI engine uncovers insights from 100% of customer interactions and maximizes 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.

The Opportunity

We are seeking an experienced SDE III - 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.

Key Responsibilities:

  • 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.
  • Data Modeling: Develop and manage data models and schemas to support analytics and machine learning workloads.

Requirements:

  • 6+ years of professional experience in data engineering, with a strong focus on building large-scale data solutions.
  • Proficiency in Go and Java, with experience in building reusable frameworks powering data management.
  • 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.

Preferred Qualifications:

  • Degree in Computer Science, Engineering, or a related field.
  • Experience with machine learning workflows and MLOps.

Benefits and Perks:

  • Excellent medical insurance options and free online doctor consultations.
  • Generous holidays, recognition, and parental leave policies.
  • Learning & Development fund to support your continuous learning journey and professional development.

Compensation Package: $180,000 per annum + bonuses and benefits.



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