Join a dynamic team focused on data modernization and migration initiatives within Deloitte's Technology & Transformation practice. This role offers the opportunity to work with vast datasets and leverage cutting-edge technologies to transform raw data into actionable insights. You will be instrumental in helping companies manage data from diverse sources and gain a competitive edge through informed decision-making.

Our practice excels in business intelligence, data management, performance management, and next-generation analytics, including big data, cloud, cognitive, and machine learning. Be part of a global network providing strategic guidance and implementation services to unlock the full value of your data.

Architect, develop, and implement large-scale Big Data applications on the AWS Cloud, handling both batch and API-driven workloads. You will build robust, scalable data solutions and optimize their performance, while also troubleshooting intricate technical challenges to ensure seamless data processing.

Develop and maintain critical REST and SOAP integrations, establish and manage efficient CI/CD pipelines, and collaborate closely with diverse teams to deliver high-quality data solutions. Experience with Snowflake for automated data ingestion/transformation and familiarity with DevOps practices are highly desirable.

A seasoned Big Data professional with 7-9 years of experience in application analysis, development, implementation, and testing specifically on the AWS Cloud. A strong command of Java and PySpark is essential for this role.

Demonstrated expertise in developing and supporting both batch processing and API-based workloads, including creating and integrating REST APIs and SOAP web services. Proficiency with core AWS services such as Amazon EMR, EC2, ECS, S3, AWS API Gateway, and AWS Step Functions, along with workflow orchestration using Airflow, is required.

Solid experience with Big Data technologies like Spark, Hadoop, HDFS, MapReduce, and Cassandra, coupled with a deep understanding of distributed data processing and batch application performance tuning. You must also have hands-on experience building and maintaining CI/CD pipelines using tools like Maven, Gradle, Jenkins, Artifactory, AWS CodeCommit, and CloudFormation.