Design and maintain scalable ETL/ELT pipelines and data workflows while ensuring data quality and security. Contribute to the development of voice-agent solutions, including speech-to-text, text-to-speech, and LLM integrations.
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.
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