Posted on: 20/08/2025
Contract duration-1 year
We are seeking a dynamic and experienced Tech Lead with a strong foundation in Java and Apache Spark to join our team. In this role, you will lead the development and deployment of scalable cloud-based data solutions, leveraging your expertise in AWS and big data technologies.
Key Responsibilities :
- Lead the design, development, and deployment of scalable and reliable data processing solutions on AWS using Java and Spark.
- Architect and 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.
- Collaborate with cross-functional teams to define project requirements and ensure seamless integration of services.
- Mentor and guide team members in Java development best practices, cloud architecture, and data
engineering.
- Monitor and optimize performance and cost of deployed solutions across AWS infrastructure.
- Stay current with emerging technologies and industry trends to drive innovation and maintain a competitive edge.
Required Skills :
- 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.
- Solid understanding of Serverless architecture and microservices.
- Proven leadership and mentoring capabilities.
- Excellent problem-solving and communication skills.
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1532251
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