Quick overview
Job description
As a Data Reliability Engineer, 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 a data engineer with extensive experience in PostgreSQL and AWS, who has previous experience creating data pipelines (ETL/ELT). 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 troubleshoot and re-run them.
- 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.
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
Regards,
Raj Dakshinapu | Recruiter, Dotcom Team LLC
Phone:
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