

Rivago Infotech Inc
PostgreSQL Database Administrator (with AWS RDS)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a PostgreSQL Database Administrator (with AWS RDS) for a contract of "unknown" duration, offering a pay rate of "unknown". Requires 5-7 years in database administration, PostgreSQL expertise, and skills in SQL, AWS, and ETL technologies.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Basking Ridge, NJ
-
🧠 - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #Monitoring #Data Integrity #"ETL (Extract #Transform #Load)" #Data Pipeline #Compliance #Kafka (Apache Kafka) #GDPR (General Data Protection Regulation) #Cloud #RDS (Amazon Relational Database Service) #Redshift #Infrastructure as Code (IaC) #Database Security #PostgreSQL #Deployment #S3 (Amazon Simple Storage Service) #Scripting #Python #DBA (Database Administrator) #Database Administration #Storage #Automation #AWS (Amazon Web Services) #Data Manipulation #Databases #Scala #AWS RDS (Amazon Relational Database Service) #Bash #Security #Apache Spark #Airflow #Computer Science #Database Schema #Apache Airflow #Amazon Redshift #Grafana #SQL Queries #Data Processing #Terraform #Prometheus
Role description
As a PostgreSQL DBA/Data Reliability Engineer II,
Responsibilities:
• Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus, Grafana, Kibana).
• Assist in identifying performance bottlenecks in PostgreSQL RDS. Apply basic performance tuning techniques like reviewing query execution plans, adding missing indexes, and recommending parameter adjustments.
• Monitor the health and performance of Debezium and Kafka Connect connectors, identifying and troubleshooting basic issues related to data capture and delivery.
• Monitor the execution of Apache Airflow DAGs, identify failed tasks, and troubleshooting and re-runs.
• Develop and maintain automation scripts and infrastructure as code (IAC) templates (e.g., using Crossplane, Terraform) to automate routine database tasks, deployments, and updates.
• Participate in on-call rotations to respond to database-related incidents and perform troubleshooting and root cause analysis.
• Assist in implementing and maintaining security best practices for cloud databases, including access controls, encryption, and compliance with regulatory requirements.
• Regularly audit and assess database security configurations.
• Configure and manage database backup and recovery strategies to ensure data integrity and availability in case of failures or data loss.
• Analyse database query performance and collaborate with developers to optimize SQL queries and schemas.
• Participate in continuous improvement initiatives to enhance the reliability, scalability, and performance of cloud databases.
• Assist in the design and optimization of database schemas for cloud environments.
• Monitor ETL workflows and data pipelines for errors, performance bottlenecks, and processing delays. Troubleshoot and resolve issues to ensure reliable and timely data movement.
• Provide support for data related issues and participate in root cause analysis.
Skills:
• Extensive experience in SQL, PostgreSQL Architecture, Schema/Object management, Performance tuning, back up and recovery.
• Basic understanding of AWS Cloud, Amazon Redshift and S3.
• Familiarity with data pipeline concepts and technologies such as Debezium, Kafka Connect, and ETL frameworks.
• Exposure to Apache Spark for data processing.
• Basic understanding of Apache Airflow for workflow orchestration.
• Strong SQL scripting skills for querying and basic data manipulation.
• Familiarity with scripting languages (e.g., Python, Bash) is a plus.
• Knowledge of database security best practices, including access controls, encryption, and compliance with regulatory requirements (e.g., GDPR, HIPAA).
• Having ‘AWS Certified Database - Specialty' certification is a plus.
Experience and Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• 5-7 years of experience in database administration, with a focus on PostgreSQL.
• 2-4 years of hands-on experience with PostgreSQL RDS.
As a PostgreSQL DBA/Data Reliability Engineer II,
Responsibilities:
• Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus, Grafana, Kibana).
• Assist in identifying performance bottlenecks in PostgreSQL RDS. Apply basic performance tuning techniques like reviewing query execution plans, adding missing indexes, and recommending parameter adjustments.
• Monitor the health and performance of Debezium and Kafka Connect connectors, identifying and troubleshooting basic issues related to data capture and delivery.
• Monitor the execution of Apache Airflow DAGs, identify failed tasks, and troubleshooting and re-runs.
• Develop and maintain automation scripts and infrastructure as code (IAC) templates (e.g., using Crossplane, Terraform) to automate routine database tasks, deployments, and updates.
• Participate in on-call rotations to respond to database-related incidents and perform troubleshooting and root cause analysis.
• Assist in implementing and maintaining security best practices for cloud databases, including access controls, encryption, and compliance with regulatory requirements.
• Regularly audit and assess database security configurations.
• Configure and manage database backup and recovery strategies to ensure data integrity and availability in case of failures or data loss.
• Analyse database query performance and collaborate with developers to optimize SQL queries and schemas.
• Participate in continuous improvement initiatives to enhance the reliability, scalability, and performance of cloud databases.
• Assist in the design and optimization of database schemas for cloud environments.
• Monitor ETL workflows and data pipelines for errors, performance bottlenecks, and processing delays. Troubleshoot and resolve issues to ensure reliable and timely data movement.
• Provide support for data related issues and participate in root cause analysis.
Skills:
• Extensive experience in SQL, PostgreSQL Architecture, Schema/Object management, Performance tuning, back up and recovery.
• Basic understanding of AWS Cloud, Amazon Redshift and S3.
• Familiarity with data pipeline concepts and technologies such as Debezium, Kafka Connect, and ETL frameworks.
• Exposure to Apache Spark for data processing.
• Basic understanding of Apache Airflow for workflow orchestration.
• Strong SQL scripting skills for querying and basic data manipulation.
• Familiarity with scripting languages (e.g., Python, Bash) is a plus.
• Knowledge of database security best practices, including access controls, encryption, and compliance with regulatory requirements (e.g., GDPR, HIPAA).
• Having ‘AWS Certified Database - Specialty' certification is a plus.
Experience and Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• 5-7 years of experience in database administration, with a focus on PostgreSQL.
• 2-4 years of hands-on experience with PostgreSQL RDS.






