Senior Big Data Developer (AWS, Spark, Scala)

Role: Senior Big Data Developer Position Type: Full-Time Contract (40hrs/week) Contract Duration: Long Term Work Schedule: 8 hours/day (Mon-Fri) Location: Hybrid 2x Days onsite - (Wed/Thurs) Hyderabad, India We are seeking an experienced Senior Big Data Developer to design, develop, and support large-scale data processing applications on AWS Cloud. The ideal candidate will have strong experience building distributed data platforms using Apache Spark, Hadoop, Scala, PySpark, Java, and cloud-native AWS services. This role focuses on developing scalable batch processing pipelines, API-driven services, and cloud-native Big Data solutions that support high-volume enterprise data processing. Key Responsibilities Design, develop, and maintain scalable Big Data applications and distributed data processing pipelines.Build high-performance batch processing solutions using Apache Spark, Hadoop, and AWS.Develop REST APIs and microservices supporting enterprise data platforms.Build cloud-native applications utilizing AWS services including EMR, EC2, ECS, S3, API Gateway, Step Functions, and Airflow.Develop applications using Scala, PySpark, Java, Kotlin, and Python.Optimize Spark, Hadoop, and distributed workloads for performance and scalability.Develop Linux shell scripts and Python automation.Collaborate with Data Engineering, Architecture, DevOps, and Product teams.Build and maintain CI/CD pipelines using Jenkins and AWS DevOps tools.Troubleshoot production issues and participate in code reviews. Required Qualifications 7+ years of experience developing Big Data applications.Strong experience building scalable distributed data processing platforms.Hands-on experience with Apache Spark, Hadoop, HDFS, MapReduce, and Cassandra.Strong programming experience with Scala, PySpark, Java, Kotlin, and Python.Experience developing REST APIs and Microservices.Strong experience with AWS services including EMR, EC2, ECS, S3, API Gateway, Step Functions, and Airflow.Experience with Linux, Shell Scripting, and Python automation.Experience building CI/CD pipelines using Jenkins, Maven, Gradle, Artifactory, AWS CodeCommit, and CloudFormation.Excellent analytical, troubleshooting, and communication skills. Role: Senior Big Data Developer Position Type: Full-Time Contract (40hrs/week) Contract Duration: Long Term Work Schedule: 8 hours/day (Mon-Fri) Location: Hybrid 2x Days onsite - (Wed/Thurs) Hyderabad, India We are seeking an experienced Senior Big Data Developer to design, develop, and support large-scale data processing applications on AWS Cloud. The ideal candidate will have strong experience building distributed data platforms using Apache Spark, Hadoop, Scala, PySpark, Java, and cloud-native AWS services. This role focuses on developing scalable batch processing pipelines, API-driven services, and cloud-native Big Data solutions that support high-volume enterprise data processing. Key Responsibilities Design, develop, and maintain scalable Big Data applications and distributed data processing pipelines.Build high-performance batch processing solutions using Apache Spark, Hadoop, and AWS.Develop REST APIs and microservices supporting enterprise data platforms.Build cloud-native applications utilizing AWS services including EMR, EC2, ECS, S3, API Gateway, Step Functions, and Airflow.Develop applications using Scala, PySpark, Java, Kotlin, and Python.Optimize Spark, Hadoop, and distributed workloads for performance and scalability.Develop Linux shell scripts and Python automation.Collaborate with Data Engineering, Architecture, DevOps, and Product teams.Build and maintain CI/CD pipelines using Jenkins and AWS DevOps tools.Troubleshoot production issues and participate in code reviews. Required Qualifications 7+ years of experience developing Big Data applications.Strong experience building scalable distributed data processing platforms.Hands-on experience with Apache Spark, Hadoop, HDFS, MapReduce, and Cassandra.Strong programming experience with Scala, PySpark, Java, Kotlin, and Python.Experience developing REST APIs and Microservices.Strong experience with AWS services including EMR, EC2, ECS, S3, API Gateway, Step Functions, and Airflow.Experience with Linux, Shell Scripting, and Python automation.Experience building CI/CD pipelines using Jenkins, Maven, Gradle, Artifactory, AWS CodeCommit, and CloudFormation.Excellent analytical, troubleshooting, and communication skills.