Data Reliability Engineer II
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Strong ghost-posting signals
- open for 227 days (90+ without a fill is a strong ghost signal)
- reposted 1× (reposts correlate with ghost postings)
- removed from the board and reposted at least once
- 807 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Responsibilities:
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.
5-7 years of experience in database administration, with a focus on PostgreSQL.
2-4 years of hands-on experience with PostgreSQL RDS.
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