Senior Data Engineer

Srinav; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Srinav is seeking an experienced Senior Data Engineer to lead the design and delivery of scalable data pipelines and real-time streaming solutions. The role focuses on hands-on development with Apache Kafka and mentoring junior engineers while partnering with cross-functional teams to ensure reliable data platforms.

The ideal candidate will drive best practices, architecture decisions, and CI/CD processes, delivering high-performance data solutions for large-scale datasets in a collaborative

Qualifications

• 6-8+ years of data engineering experience.
• Strong hands-on data engineer with Kafka expertise.
• Experience building scalable data pipelines.

Responsibilities

• Lead the design, development, and implementation of scalable batch and real-time data pipelines.
• Build and maintain robust Kafka-based streaming solutions for high-volume data processing.
• Design Kafka topics, partitions, consumer groups, replication strategies, and data retention configurations.
• Develop high-quality, scalable ETL/ELT pipelines and data processing frameworks.
• Work with large datasets and optimize data pipelines for performance, reliability, and scalability.
• Troubleshoot complex production issues across data pipelines and streaming applications.
• Define and drive data engineering best practices, coding standards, testing, monitoring, and CI/CD.
• Participate in data architecture and technical design discussions.
• Perform code reviews and provide technical guidance to other data engineers.
• Mentor team members and act as

Skills

Apache Kafka

Real-time streaming

Data pipelines

Mentoring engineers

Cross-functional teamwork

Tools

Apache Kafka

Job description

Role & responsibilities

Job Summary

We are looking for an experienced Senior Data Engineer with 6-8+ years of experience in designing, developing, and leading scalable data engineering solutions. The ideal candidate should be a strong hands-on Data Engineer with deep expertise in Apache Kafka and real-time data streaming.

The candidate will be responsible for building high-performance data pipelines, driving technical architecture, mentoring engineers, and partnering with cross-functional teams to deliver reliable and scalable data platforms.

Key Responsibilities

• Lead the design, development, and implementation of scalable batch and real-time data pipelines.
• Build and maintain robust Kafka-based streaming solutions for high-volume data processing.
• Design Kafka topics, partitions, consumer groups, replication strategies, and data retention configurations.
• Develop high-quality, scalable ETL/ELT pipelines and data processing frameworks.
• Work with large datasets and optimize data pipelines for performance, reliability, and scalability.
• Troubleshoot complex production issues across data pipelines and streaming applications.
• Define and drive data engineering best practices, coding standards, testing, monitoring, and CI/CD.
• Participate in data architecture and technical design discussions.
• Perform code reviews and provide technical guidance to other data engineers.
• Mentor team members and act as

Preferred candidate profile