

Sibitalent Corp
Data Engineer with PostgresSQL
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with PostgreSQL, located in Basking Ridge, NJ (Hybrid), on a contract basis. Requires 5-8 years of data engineering experience, expertise in AWS, PostgreSQL RDS, ETL/ELT, and familiarity with data pipeline technologies.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Basking Ridge, NJ
-
🧠 - Skills detailed
#Terraform #Database Schema #Spark (Apache Spark) #Security #Cloud #Apache Airflow #PostgreSQL #Prometheus #RDS (Amazon Relational Database Service) #Infrastructure as Code (IaC) #Data Lake #Databases #Scripting #Monitoring #S3 (Amazon Simple Storage Service) #Data Integrity #Data Pipeline #Data Processing #Python #Redshift #SQL (Structured Query Language) #Amazon Redshift #Bash #SQL Queries #Compliance #Data Engineering #Automation #AWS (Amazon Web Services) #Airflow #Data Manipulation #Scala #Apache Spark #GDPR (General Data Protection Regulation) #Computer Science #Data Warehouse #Storage #Deployment #Database Security #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka)
Role description
Hi,
Hope you are doing well.
Role : Data engineer with PostgresSQL
Location : Basking ridge, NJ (Hybrid)
Contract
Look for a Data Engineer who has worked with Postgres SQL as source of data and has built data pipelines using AWS services.
Job Description
As a Data Reliability Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.
Responsibilities:
• Need data engineer with extensive experience in PostgresSQL, and AWS . He / She who have previous experience in creating data pipelines ( ETL / ELT)
• Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus).
• 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 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.
• 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.
Skills:
• Familiarity with data pipeline concepts and technologies such as Debezium, Kafka Connect, and ETL frameworks.
• Basic understanding of Amazon Redshift and S3.
• 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.
• 5-8 years of experience in data Engineering, with a focus on PostgreSQL.
• 2-4 years of hands-on experience with PostgreSQL RDS
Sonu Pal
sonu.pal@sibitalent.com
Sibitalent Corp
101 E. Park Blvd., Suite 600
Plano, TX - 75074
www.sibitalent.com
Hi,
Hope you are doing well.
Role : Data engineer with PostgresSQL
Location : Basking ridge, NJ (Hybrid)
Contract
Look for a Data Engineer who has worked with Postgres SQL as source of data and has built data pipelines using AWS services.
Job Description
As a Data Reliability Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.
Responsibilities:
• Need data engineer with extensive experience in PostgresSQL, and AWS . He / She who have previous experience in creating data pipelines ( ETL / ELT)
• Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus).
• 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 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.
• 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.
Skills:
• Familiarity with data pipeline concepts and technologies such as Debezium, Kafka Connect, and ETL frameworks.
• Basic understanding of Amazon Redshift and S3.
• 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.
• 5-8 years of experience in data Engineering, with a focus on PostgreSQL.
• 2-4 years of hands-on experience with PostgreSQL RDS
Sonu Pal
sonu.pal@sibitalent.com
Sibitalent Corp
101 E. Park Blvd., Suite 600
Plano, TX - 75074
www.sibitalent.com






