We are looking for an experienced Data Engineer with strong expertise in Java, Python, PySpark, and Kubernetes. The ideal candidate should have hands-on experience in designing, developing, and maintaining scalable data engineering solutions, along with exposure to AI/ML technologies.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data processing solutions.

Develop and optimize data engineering applications using Java and Python.

Work extensively with PySpark for large-scale data processing, transformation, and analytics.

Build, deploy, and manage containerized applications using Kubernetes.

Develop and maintain effective ETL/ELT workflows for data integration and processing.

Optimize data pipelines for performance, scalability, and reliability.

Collaborate with cross-functional teams to deliver high-quality data solutions.





Leverage exposure to AI/ML technologies to support intelligent data processing and analytics solutions.

Troubleshoot data pipeline issues and ensure data quality and consistency.

Required Skills

Strong hands-on experience in Data Engineering.

Proficiency in Java and Python programming.

Strong experience with PySpark and distributed data processing.

Good understanding and experience with Kubernetes.

Exposure to Artificial Intelligence (AI) and Machine Learning (ML) concepts and technologies.

Strong knowledge of data pipelines, ETL/ELT processes, and data transformation.

Excellent problem-solving and analytical skills.

📌 Data Engineer (Bengaluru)
🏢 SRS Infoway
📍 Bengaluru