Backend Engineer II – Data Platform

This is a fully remote position, open to applicants in India.

📋 Description

• Design and implement clean, modular, and scalable backend services utilizing Java, Spring Boot, and contemporary microservice principles.

• Create efficient database schemas and develop optimized queries for RDS (MySQL/PostgreSQL) and optionally, NoSQL databases such as Elasticsearch, MongoDB, or DynamoDB.

• Integrate Kafka or RabbitMQ to establish robust and loosely-coupled event-driven architectures.

• Architect and implement scalable, secure, and reliable data pipelines leveraging modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).

• Develop ETL/ELT processes to ingest data from a variety of structured and unstructured sources.

• Conduct Exploratory Data Analysis (EDA) to reveal trends, validate data integrity, and generate insights that guide data product development and business strategies.

• Collaborate closely with data scientists, analysts, and software engineers to create data models that facilitate high-quality analytics and real-time insights.

• Profile and optimize backend performance across databases, APIs, and infrastructure.

• Write clean, maintainable code with thorough unit and integration tests to ensure system reliability and stability.

• Excel in an agile, collaborative environment and take responsibility for end-to-end feature delivery.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

• 4+ years of practical experience in data engineering or backend software development positions.

• Strong proficiency in the Java and Spring Boot ecosystem.

• Solid grasp of Relational Databases (RDS, MySQL, PostgreSQL).

• Experience utilizing Apache Kafka or RabbitMQ to construct asynchronous, decoupled systems.

• Proficiency in Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect).

• Extensive experience with cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Snowflake, Databricks).

• In-depth understanding of data modeling, data warehousing, and distributed systems.

🏝️ Benefits

• Netomi is an equal opportunity employer dedicated to workplace diversity.

• We assess qualified candidates without consideration of race, color, religion, sex, sexual orientation, disability, veteran status, or other protected characteristics.