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:

Robust 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.

📌 Data Engineer - Tech Lead (Pune)
🏢 Recognized
📍 Pune