AWS Data Engineer (with PostgreSQL)

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. Responsibilities: • Need data engineer with extensive experience in PostgresSQL, and AWS . 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 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. • 5-8 years of experience in data Engineering, with a focus on PostgreSQL. • 2-4 years of hands-on experience with PostgreSQL RDS