Job Description This is a remote position. Shuru is an AI-native engineering services company building products with leading startups, enterprises, and well-funded scale-ups across India, Southeast Asia, the UAE, and global markets. Our engineers work in small, dedicated squads, ship in weekly cycles, and use AI-assisted development tools such as Cursor, Claude Code, and GitHub Copilot as a standard part of how we build. We hire for fundamentals, give engineers real ownership, and back them with a culture that respects deep work. We are looking for a Data Engineer who can build reliable, scalable data pipelines and gradually transition into developing AI and voice-agent solutions. This role is ideal for someone with strong data engineering fundamentals and a keen interest in Generative AI, LLMs, and conversational systems. Responsibilities Design and maintain scalable ETL/ELT pipelines and data workflows. Integrate structured and unstructured data from APIs, databases, and third-party platforms. Build and manage data warehouses, data lakes, and real-time processing systems. Ensure data quality, reliability, security, and monitoring. Prepare data for AI, analytics, and machine-learning use cases. Gradually contribute to voice-agent workflows, including speech-to-text, text-to-speech, LLM integrations, and conversation analytics. Collaborate with AI, product, and engineering teams to develop production-ready AI solutions. Requirements 4+ years of experience in data engineering. Strong proficiency in Python and SQL. Experience with ETL/ELT pipelines, data modelling, and workflow orchestration. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of tools such as Airflow, Spark, Kafka, Snowflake, BigQuery, or Databricks. Understanding of APIs, microservices, and real-time data processing. Strong interest in learning and working with LLMs, voice AI, and agentic workflows within the next six months. Benefits Work on international projects: Be part of a global team working with clients from across the world. Remote-first culture: Enjoy the flexibility of a remote workplace, allowing you to work from anywhere. Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events. Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development. Competitive Salary and Benefits
Data Engineers Databricks / PySpark - Full Remote
Avandagroup
Data Engineering Consultant
Etontechnologies
Databricks Platform Engineer
Changeis
Data Engineer with Python
Ascendion
Data Engineer / MLOps Specialist
Vurke Inc
Senior Data Engineer
Pipe Recruit