R Systems Hiring! Full Time Data Engineer in - Ricebowl

Key Responsibilities

• Design, develop, and implement scalable data and platform solutions across AWS and

hybrid/on-premises environments.

• Build and maintain robust data pipelines, platform services, and automation

frameworks using Python, PySpark, SQL, and cloud-native technologies.

• Support and enhance enterprise capabilities including data lakes, metadata

management, search platforms, and AI services.

• Develop and maintain CI/CD pipelines, automated testing frameworks, and deployment

processes.

• Implement, integrate, and support technologies such as OpenSearch, Bedrock,

AgentCore, MCP, and related platform services.

• Monitor and improve platform reliability, security, performance, observability, and cost

efficiency.

• Troubleshoot and resolve production issues while ensuring platform stability and

operational excellence.

• Collaborate with cross-functional teams to drive platform modernization and

continuous improvement initiatives.

Mandatory Requirements

3-5+ years of hands-on experience building and supporting production-grade data

pipelines using SQL, Python, and cloud technologies.

Hands-on experience with AWS and/or hybrid cloud environments.

Strong Linux/Unix administration and scripting experience with production

support capabilities.

Detailed Requirements

Data Engineering: Strong understanding of ETL/ELT processes, Data Lake/Lakehouse

architectures, and distributed data processing frameworks.

Cloud & Platform Engineering: Experience with AWS Glue, EMR, S3, Redshift, Lambda,

Apache Spark, Airflow, DBT, Kafka/MSK, Apache Iceberg, OpenSearch, Hive, Trino, Presto,

Bedrock, AgentCore and MCP.

Platform Operations: Proficiency with Git, CI/CD pipelines, DevOps practices, Infrastructure

as Code (IaC), and enterprise-scale platform support.