Data Reliability Engineer

Skills - PostgreSQL (core + RDS) , PostgreSQL, Amazon CloudWatch, Data Pipeline, Airflow and AWS

Job Description

As a Data Reliability Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.

Roles & Responsibilities

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 Cross plane, 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.