Data Engineer I

Netomi; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Netomi in Gurugram is seeking an Analytics Engineer to join the Analytics team. You will work with data science, product, engineering, and customer success teams to drive complex data analyses, benchmark performance, and publish scorecards.

You will design scalable data pipelines, implement ETL/ELT processes, and collaborate to improve product operations through data-driven insights. The role emphasizes Python, SQL, and modern BI tools.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or related field.
• 2+ years hands-on data engineering or backend development experience.
• Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
• Experience with Apache Kafka or RabbitMQ for asynchronous systems.
• Proficiency with Python, SQL, and an orchestration tool (Airflow, Luigi, Prefect).
• Strong experience with cloud data platforms (Redshift, BigQuery, Snowflake, Databricks).
• Deep understanding of data modeling, data warehousing, and distributed systems.

Responsibilities

• Architect and implement scalable, secure, and reliable data pipelines.
• Develop ETL/ELT processes to ingest data from diverse sources.
• Perform Exploratory Data Analysis (EDA) to uncover trends and insights.
• Collaborate with data scientists, analysts, and software engineers on data models.
• Write clean, tested Python code with unit & integration tests.
• Thrive in an agile, collaborative environment and own feature delivery.

Skills

Python

SQL

Data engineering

Data pipelines

ETL/ELT

Distributed systems

Relational databases

Airflow

Apache Spark

Databricks

Snowflake

BigQuery

Cloud platforms

Apache Kafka

RabbitMQ

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

Apache Airflow

Luigi

Prefect

Kafka

RabbitMQ

Spark

Databricks

Job description

About The Company

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

About The Company

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team in Gurugram. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and thereby contribute to improving the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for an Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

Responsibilities

• Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).
• Develop ETL/ELT processes to ingest data from various structured and unstructured sources.
• Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.
• Collaborate 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.

Requirements

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

Additional Skills

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

Netomi is an equal opportunity employer committed to diversity in the workplace.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.