Position: Data Engineer – Tech Lead
Experience: 8 – 12 Years
Work Mode: Hybrid (Hinjewadi, Pune)
Duration: 12 Months (Contract to Hire)
Budget: 22 LPA
About the Role
We are looking for a Data Engineer – Tech Lead with strong expertise in Java, Apache Spark, and AWS cloud services to lead high-impact data engineering projects. You will architect and build scalable data processing pipelines, guide a team of engineers, and drive innovation in our cloud-based data infrastructure.
Key Responsibilities
- 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.
- Develop and deploy serverless applications using AWS Lambda, integrating with other AWS services.
- Manage container orchestration and microservices with Amazon EKS.
- Design and implement workflow orchestration for complex pipelines using Apache Airflow.
- Collaborate with cross-functional teams to define requirements and ensure smooth project delivery.
- Mentor and guide team members on Java development, cloud architecture, and data engineering best practices.
- Monitor and optimize performance, scalability, and cost efficiency across AWS environments.
- Stay updated with emerging technologies and trends to enhance solutions and maintain competitiveness.
Required Skills & Competencies
- 8–12 years of experience in software/data engineering with proven leadership exposure.
- Strong hands-on Java development experience.
- Expertise in Apache Spark for distributed data processing.
- Proficiency with AWS services including EMR, Lambda, EKS, and Airflow.
- Solid understanding of Serverless architecture & microservices design.
- Proven leadership and mentoring capabilities.
- Excellent problem-solving, communication, and analytical skills.
Job Type: Contractual / Temporary
Pay: ₹2,000,000.00 - ₹2,200,000.00 per year
Work Location: In person