Netomi: Data Engineer II — Remote - India

About Netomi

Netomi develops an agentic-AI platform for enterprise customer experience. Its employer introduction describes no-code tools for creating and managing AI agents across customer interactions. The platform connects automation with the practical workflows used by customer-service organisations. Recruitment material also describes agentic workflows, prompt engineering and API-based automation around that platform. The business is therefore concerned with how AI agents perform tasks within customer journeys, as well as the software used to build and operate them.

The position and its setting

Netomi lists Data Engineer II in Remote - India, under reference 929d62de-1e00-4b54-ba38-3378cc440fb2. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Product Engineering
• Employment type: Full Time - Remote
• team: Product Development

Responsibilities and work described

• Architecture: and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.)
• Development: ETL/ELT processes to ingest data from various structured and unstructured sources
• Execution: Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions
• Collaboration: closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights
• Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability in Python
• Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery

Essential requirements and candidate background

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 4+ years of hands-on experience in data engineering or backend software development roles
• Understanding: Relational Databases (RDS, MySQL, PostgreSQL)
• Experience: Apache Kafka or RabbitMQ for building asynchronous, decoupled systems
• Proficiency: Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect )
• Experience: cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Snowflake, Databricks )
• Deep understanding of data modeling, data warehousing, and distributed systems

Preferred experience and additional strengths

• Familiarity: DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes)
• Exposure: AI/ML-integrated solutions or interest in working alongside data science teams
• Knowledge: data security and privacy regulations (e.g., GDPR, HIPAA )
• Familiarity: prompt engineering and how LLM-based systems interact with data

Location, schedule and contract conditions

• Work arrangement: Remote
• Advertised location: Remote - India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Engineer II vacancy is not an offer for reference 929d62de-1e00-4b54-ba38-3378cc440fb2; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Netomi

Applications follow the official employer page linked below.

Open the official Netomi posting below and match the title and reference 929d62de-1e00-4b54-ba38-3378cc440fb2.

Compare your qualifications and experience with the essential conditions for the Remote - India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Spark
• Kafka
• Kubernetes
• CI/CD
• Docker
• AWS
• GCP
• AI/ML
• LLMs
• AI
• Google Cloud