Job Description

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