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Job Description
Lead the design, development, and deployment of scalable and reliable data processing solutions on AWS.
Architect and implement big data processing pipelines using Apache Spark on AWS EMR.Build and deploy Serverless applications with AWS Lambda, integrating with other AWS services.
Utilize Amazon EKS for container orchestration and microservices management.
Design and manage complex data workflows with Apache Airflow.
Collaborate with cross-functional teams to define requirements and ensure seamless integration.
Mentor and guide team members in Java best practices, cloud architecture, and data engineering.
Monitor and optimize solution performance and cost across AWS infrastructure.
Stay updated on emerging technologies to drive innovation and maintain a competitive edge.
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Strong hands-on experience in Java development
Proficiency in Apache Spark for distributed data processing
Expertise with AWS services EMR, Lambda, EKS, Airflow
Solid understanding of Serverless architecture & microservices
Proven leadership and mentoring capabilities
Strong problem-solving & communication skills
Now Hiring: Data Engineer Tech Lead
Location: Hinjewadi, Pune (Hybrid)
Contract: 12 Months
Experience: 8 to 12 Years
About the Role
We are looking for a Tech Lead (Data Engineering) with strong expertise in Java, Apache Spark, and AWS to lead the development of scalable, cloud-based data solutions. This is a great opportunity to work on cutting-edge big data technologies, mentor a talented team, and contribute to innovative projects.
Key Responsibilities
Required Skills & Experience
Skills
ApacheSparkData EngineeringAwsJavaLambdaMicroservicesIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
10 Oct 25, 05:17 PM IST
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