Big Data Engineer – Java, Apache Spark, AWS EMR, Lambda, EKS & Airflow

About the role

Job Summary Synechron is seeking a Big Data Engineer with 5+ years of experience in designing, developing and deploying scalable and reliable data-processing solutions on AWS using Java and Apache Spark. The role will focus on implementing big data processing pipelines using Apache Spark on AWS EMR, developing and deploying serverless applications using AWS Lambda, utilizing Amazon EKS for container orchestration and microservices management, and designing workflow orchestration using Apache Airflow. The position will contribute to business objectives by delivering reliable, scalable and maintainable data-processing solutions that support efficient data operations and application services. Software Requirements Required • Java: Strong hands-on experience in Java development. • Apache Spark: Proficiency in Apache Spark for distributed data processing. • AWS EMR: Experience implementing big data processing pipelines using Apache Spark on AWS EMR. • AWS Lambda: Experience developing and deploying serverless applications using AWS Lambda. • AWS Service Integration: Experience integrating AWS Lambda with other AWS services. • Amazon EKS: Experience utilizing Amazon EKS for container orchestration and microservices management. • Apache Airflow: Experience designing and implementing workflow orchestration for complex data pipelines. • AWS: Experience designing, developing a

Skills

Role details

Employment type

Full-time

Openings

1

About Synechron

American financial technology company

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