Senior Data Reliability Engineer

Senior Data Reliability Engineer

Location:

NJ (Onsite)

• Deep expertise in Postgre
  
  SQL 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 Cloud Watch, 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 Postgre
  
  SQL, 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.