Big Data Engineer - Java, Spark & AWS

Big Data Engineer - Java, Spark & AWS

Hiring Location Chennai

• Experience in designing, development, and deployment of scalable and reliable data processing solutions on AWS using Java and Spark.
• implement big data processing pipelines using Apache Spark on AWS EMR.
• Develop and deploy Serverless applications using AWS Lambda, integrating with other AWS services.
• Utilize Amazon EKS for container orchestration and microservices management.
• Design and implement workflow orchestration using Apache Airflow for complex data pipelines.
• Strong hands-on experience in Java development.
• Proficiency in Apache Spark for distributed data processing.
• Experience with AWS services including EMR, Lambda, EKS, and Airflow.

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YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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