Backend Engineer II – Data Platform

Netomi

Data engineer responsible for backend services and data pipelines to enhance AI customer experience. Collaborate with data science and product teams to drive insights and improve user experience.

Posted 5/6/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSBigQueryCloudDistributed SystemsDynamoDBElasticSearchETLGoogle Cloud PlatformJavaKafkaMongoDBMySQLNoSQLPostgresPythonRabbitMQSparkSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Architect and implement clean, modular, and scalable backend services using Java, Spring Boot, and modern microservice principles.
Design efficient database schemas and write optimized queries for RDS (MySQL/PostgreSQL) and, optionally, NoSQL databases like Elasticsearch, MongoDB, or DynamoDB.
Integrate Kafka or RabbitMQ to build robust and loosely-coupled event-driven architectures.
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.
Profile and tune backend performance across databases, APIs, and infrastructure.
Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability.
Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.

Requirements

What you’ll need

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.
Strong expertise in Java and Spring Boot ecosystem.
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.

Benefits

Comp & perks

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.

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Hard Skills & Tools

JavaSpring BootMySQLPostgreSQLElasticsearchMongoDBDynamoDBApache KafkaRabbitMQETL

Soft Skills

collaborationownershipagile environmentdata analysisproblem-solving

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceEngineering degree