We are looking for an experienced Big Data Applications Engineer with robust software development skills and hands-on experience in AWS, distributed data processing, and API development.

Key Responsibilities
Design, develop, test, and deploy scalable Big Data applications using Java, Scala, Python, and Spark.
Build and maintain distributed batch-processing applications using Hadoop, HDFS, Spark, and MapReduce.
Integrate recent data sources and tools into existing Big Data ecosystems.
Develop and support REST APIs, SOAP web services, microservices, and API integrations.
Design and implement scalable data-processing solutions using AWS services.
Optimize batch application performance across Spark, Hadoop, EMR, Java, and Python workloads.
Work with cross-functional teams to design, develop, and deploy reliable data solutions.
Collaborate with onsite and offshore teams,



providing technical guidance on architecture and development.
Follow secure development practices, automated testing, and CI/CD processes.

Mandatory Technical Skills
Programming: Java, Scala, Python
Big Data: Apache Spark, Hadoop, HDFS, MapReduce, Cassandra
AWS: EMR, EC2, ECS, S3, Airflow, Step Functions, API Gateway
API Development: REST APIs, SOAP Web Services, Microservices
Scripting: Linux, Shell Scripting, Python
Performance Tuning: Spark, Hadoop, EMR, Java, and Python batch applications

Preferred Skills
Git, GitHub, Bitbucket, GitLab
Maven, Gradle, Jenkins, Artifactory
AWS CodeCommit and CloudFormation
IntelliJ IDEA / PyCharm
CI/CD and automated deployment practices

Skills: java,microservices,linux,ci/cd,aws,rest apis,python

📌 Big Data Applications Engineer Aws Hyderabad
🏢 Zorba AI
📍 Hyderabad