Senior Data Reliability Engineer
Arkhya Tech
Bedminster, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Bedminster, United States of America
Tech stack
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Bash
Cloud Database
Databases
Data Integrity
ETL
Distributed Computing Environment
Fault Tolerance
Monitoring of Systems
Python
PostgreSQL
Performance Tuning
Reliability Engineering
Cloud Services
Prometheus
Workflow Management Systems
Grafana
Spark
Amazon Web Services (AWS)
Debezium
Information Technology
Kafka
Cloudwatch
Terraform
Data Pipelines
Redshift
Requirements
- Deep expertise in PostgreSQL administration and performance tuning, preferably in AWS RDS environments.
- Strong experience with Debezium, Kafka Connect, ETL frameworks/tools, and enterprise-grade data pipeline architectures.
- Strong hands-on experience with Amazon Redshift, S3, and cloud-native data platforms.
- Expertise in Apache Airflow workflow orchestration and operational management.
- Experience with Apache Spark and large-scale distributed data processing.
- Strong scripting and automation experience using Python, Bash, or similar languages.
- Strong experience in Infrastructure as Code (IaC) using Terraform, Crossplane, or equivalent tools.
- Hands-on experience with monitoring and observability tools such as CloudWatch, Prometheus, Grafana.
- Strong understanding of cloud database security, compliance, and governance frameworks (e.g., GDPR, HIPAA).
- Experience designing highly available, fault-tolerant, and scalable cloud database systems., * Bachelor's degree in computer science, Information Technology, or a related field (master's preferred).
- 10-12 years of overall experience in database engineering, cloud data infrastructure, or reliability engineering.
- Minimum 5+ years of hands-on experience with PostgreSQL, including AWS RDS administration.
- Strong experience in cloud-native data platforms and enterprise-scale production environments.
- AWS Certified Database - Specialty or relevant cloud certifications preferred.