Java API Developer

Tekskills; Chennai District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Tekskills in Chennai, Tamil Nadu, India, seeks a data/API engineer to design and build scalable REST APIs in Java with Spring Boot and Hibernate, and to shape large data pipelines using Spark, Databricks, and data lake concepts.

The role emphasizes test‑driven development, DevOps practices, and CI/CD with Git, plus hands‑on work with AWS services such as Lambda, RDS, ECS, DynamoDB, API Gateway and S3 to deliver robust solutions on large datasets.

Qualifications

• Two or more years of API development experience with Java/Spring Boot/Hibernate.
• Two or more years of data engineering with Spark/Databricks/SQL NoSQL.
• Experience with TDD and DevOps concepts.
• Familiar with CI/CD and Git workflows.
• Experience ETL, data modeling, and warehousing on large datasets.

Responsibilities

• Develop RESTful APIs using Java, Spring Boot, and Hibernate.
• Design and maintain data pipelines with Spark, Databricks, and data lake concepts.
• Apply test-driven development to deliver robust components.
• Leverage DevOps practices, CI/CD, and Git for efficient delivery.
• Work with ETL, data modeling, and data warehousing for large-scale data.

Skills

Test-driven development

Data modeling

Data warehousing

ETL processes

Large-scale datasets

Tools

Java

Spring Boot

Hibernate

Apache Spark

Databricks

SQL DB

NoSQL DB

Data Lake concepts

Git

CI/CD

AWS Lambda

AWS RDS

AWS ECS

DynamoDB

API Gateway

S3

Job description

Role & responsibilities

• Two or more years of API Development experience (specifically Rest APIs using Java, Spring boot, Hibernate)
• Two or more years of Data Engineering and the respective tools and technologies (e.g., Apache Spark, Databricks, SQL DB, NoSQL DB, Data Lake concepts)
• Working knowledge of Test-driven development
• Working knowledge of experience leveraging DevOps and lean development principles such as Continuous Integration, Continuous Delivery/Deployment using tools like Git
• Working knowledge of ETL, Data Modeling, Data Warehousing, and working with large-scale datasets
• Working Knowledge of AWS services such as Lambda, RDS, ECS, DynamoDB, API Gateway, S3 etc.