PostgreSQL~AI and Automation

Project overview

This contract role focuses on building and tuning scalable data-processing solutions and pipelines in AWS environments. PySpark is explicitly mandatory, alongside advanced SQL skills for query optimization and performance tuning; the description also names S3, EMR, MSK (Kafka), SageMaker, Athena, Lambda, and DataSync. PostgreSQL, AI, and automation appear in the structured skills/title but are not explained as requirements in the role description, so they are treated as unclear rather than confirmed must-haves. The stated experience band is 8–10 years, and the location is India.

Work mode and the specific product or industry context are not specified.

Responsibilities

• Advanced proficiency in SQL, including query optimization and performance tuning.
• Experience in designing, developing, and optimizing scalable data pipelines and data processing solutions in AWS environments.
• Ability to troubleshoot and tune data workloads for performance, reliability, and scalability.

Requirements

• Hands-on PySpark for large-scale data processing and transformation
• Advanced SQL, including query optimization and performance tuning
• Hands-on AWS experience, including S3, EMR, MSK (Kafka), SageMaker, Athena, Lambda, and DataSync
• Designing, developing, and optimizing scalable data pipelines and processing solutions in AWS
• Troubleshooting and tuning data workloads for performance, reliability, and scalability

Project details

• Start: flexible
• Remote: onsite
• Location: India, IN