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Removed from the employer's board on Nov 6, 2026. First seen by Alion on Nov 6, 2026.
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Empowering Your Digital Transformation. Constructing Robust Architectures for Collecting, Transforming, and Delivering Data for Informed Business Strategies.
Nova Web Technologies LLC is seeking a Data Reliability Engineer to ensure the performance, availability, reliability, security, and scalability of PostgreSQL and cloud-based data environments. The role focuses on supporting data pipelines, databases, streaming platforms, and workflow orchestration, while resolving incidents and improving operational efficiency.
Responsibilities
- Design, develop, maintain, and troubleshoot ETL/ELT data pipelines supporting large-scale data lakes and data warehouses
- Monitor PostgreSQL RDS instances for performance, availability, resource utilization, and overall system health
- Monitor CPU, memory, storage, database connections, and other PostgreSQL RDS metrics using tools such as AWS CloudWatch and Prometheus
- Identify PostgreSQL performance bottlenecks and perform basic database tuning, including query execution plan analysis, indexing, and parameter optimization
- Analyze SQL query performance and collaborate with development teams to optimize queries, database schemas, and data access patterns
- Monitor and troubleshoot Debezium and Kafka Connect connectors to ensure reliable data capture and delivery
- Monitor ETL workflows and data pipelines for failures, processing delays, data quality issues, and performance bottlenecks
- Monitor Apache Airflow DAGs, troubleshoot failed tasks, and rerun workflows as required
- Support data-related incidents, perform troubleshooting, and participate in root cause analysis (RCA)
- Develop automation scripts using Python, Bash, or similar scripting languages to improve operational efficiency
- Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform and Crossplane
- Support database deployments, configuration changes, upgrades, and routine maintenance
- Implement and maintain database backup, recovery, and disaster recovery strategies
- Support database security through access controls, encryption, configuration reviews, and compliance practices
- Regularly audit database security configurations and identify potential risks or areas for improvement
- Assist with the design and optimization of database schemas for cloud environments
- Participate in on-call rotations and respond to database and data platform incidents
- Contribute to continuous improvement initiatives focused on data reliability, scalability, availability, and operational efficiency
Skills
- 13+ years of experience in data engineering, database engineering, data reliability, or related technology roles
- Extensive hands-on experience with PostgreSQL, preferably PostgreSQL running on AWS RDS
- Strong experience developing and supporting ETL/ELT data pipelines
- Strong SQL skills, including query development, troubleshooting, optimization, and data manipulation
- Strong experience with AWS cloud services, particularly database and data platform technologies
- Experience monitoring and troubleshooting production database environments
- Experience with database performance tuning, query execution plans, indexing, and schema optimization
- Experience with data pipeline monitoring, incident resolution, and root-cause analysis
- Experience with cloud database security, access controls, encryption, backup, and recovery
- Strong troubleshooting and problem-solving skills in production environments
- AWS: RDS, CloudWatch, S3, Redshift
- Databases: PostgreSQL, database performance tuning, schema design
- Data Engineering: ETL/ELT, data pipelines, data lakes, data warehouses
- Streaming: Debezium, Kafka, Kafka Connect
- Orchestration: Apache Airflow
- Data Processing: Apache Spark
- Automation: Python, Bash
- Infrastructure as Code: Terraform, Crossplane
- Monitoring: AWS CloudWatch, Prometheus
- Security: Database access controls, encryption, compliance, backup/recovery
- Familiarity with Amazon Redshift and Amazon S3
- Exposure to Apache Spark for data processing
- Working knowledge of Apache Airflow for workflow orchestration
- Experience supporting production data platforms and participating in on-call rotations
- Knowledge of database security and compliance requirements such as GDPR and HIPAA
- AWS Certified Database – Specialty certification
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