Here is the cleaned version with extra gaps, special characters, bullets, and markdown formatting removed:

JD#2 Data Engineer AWS Python PySpark Kafka

Position Overview

We are seeking an experienced Data Engineer to design, build, and maintain scalable data solutions on cloud-based platforms. The ideal candidate will have strong expertise in Snowflake, AWS, and modern data processing tools, with hands-on experience in Python, PySpark, and Kafka. This role involves close collaboration with business and technical teams to deliver reliable, high-quality data pipelines and data models.

Key Responsibilities

Design, develop, and optimize data tables and schemas in Snowflake to support analytical and reporting needs

Build robust data ingestion and transformation pipelines using Python and PySpark

Load, transform, and manage structured and semi-structured data within Snowflake

Develop scalable data processing solutions leveraging AWS services

Implement and support streaming or near-real-time data pipelines using Kafka

Perform code reviews, unit testing, and follow data engineering best practices

Load and validate historical data during initial builds and system migrations





Conduct integration testing in collaboration with business stakeholders to ensure requirements are met

Provide feedback on code changes and actively participate in the code review and testing process

Monitor, troubleshoot, and optimize data pipelines for performance and reliability

Required Skills And Qualifications

5+ years of experience in data engineering or related roles

Strong hands-on experience with Snowflake, including table design, data loading, and optimization

Proficiency in Python for data processing and pipeline development

Experience using PySpark for large-scale data transformations

Solid understanding of ETL and ELT concepts, data modeling, and data integration best practices

Experience working with AWS cloud services for data platforms

Preferred And Positive-to-Have Skills

Experience with Kafka or other streaming data technologies

Familiarity with cloud-native data architectures and distributed systems

Experience supporting analytical and enterprise data platforms

Knowledge of data quality, monitoring, and performance tuning techniques

📌 Lead Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad