Java API Developer

Tekskills; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills Hyderabad invites an engineer with 2+ years in API development (Java/Spring Boot/Hibernate) and data engineering (Spark, Databricks, SQL/NoSQL). You will work with TDD, DevOps and CI/CD (Git), ETL, data warehousing, and AWS services like Lambda, RDS, ECS, DynamoDB, API Gateway, and S3 on large datasets.

Join a team focused on scalable data solutions and cloud-native architectures, leveraging modern tooling to deliver robust APIs and data pipelines.

Qualifications

• Two or more years of API development experience with Java, Spring Boot and Hibernate.
• Two or more years of data engineering with Spark, Databricks, SQL/NoSQL and data lake concepts.
• Working knowledge of Test-driven development.
• Experience leveraging DevOps and lean development with CI/CD using Git.
• Experience with ETL, data modeling, data warehousing and large-scale datasets.
• Working knowledge of AWS services (Lambda, RDS, ECS, DynamoDB, API Gateway, S3).

Responsibilities

• Develop Rest APIs using Java, Spring Boot and Hibernate.
• Handle data engineering tasks with Spark, Databricks, SQL/NoSQL and data lakes.
• Apply Test-driven development practices.
• Leverage DevOps and lean methods with CI/CD using Git.
• Work with ETL, data modeling, data warehousing and large datasets.
• Utilize AWS services such as Lambda, RDS, ECS, DynamoDB, API Gateway and S3.

Skills

Java

Spring Boot

Hibernate

API Development

Data Engineering

ETL

Data Modeling

Data Warehousing

AWS Services

Spark

Databricks

SQL/NoSQL

Data Lake concepts

Tools

Git

CI/CD

AWS Lambda

API Gateway

S3

RDS

DynamoDB

ECS

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.