Immediate Hiring | Database Engineer | Redington Group

Job Description

Dear Candidates, Are you looking for opportunities ? If yes, read below to know more about an opportunity in Redington Group, one of the leading Supply Chain Management organizations! Please find the below job description for DevOps Engineer role. Request you to go through and share your confirmation for the same. Location : Remote Role Overview: We are seeking a highly skilled and passionate Database Reliability Engineer (DBRE) to join our team. The ideal candidate will be responsible for the reliability, performance, and scalability of our core database systems. He / She will apply sound engineering principles, operational discipline, and mature software development practices to maintain and enhance our data infrastructure, ensuring our applications have fast, reliable, and secure access to data 24/7. Key Responsibilities: Database Reliability & Performance: Design, implement, and maintain highly available, scalable, and resilient database systems (e.g., PostgreSQL, MySQL, MariaDB, MongoDB, SQL Server). Proactively monitor database performance metrics, identify bottlenecks, and perform expert query tuning, indexing strategies, and schema optimizations to improve efficiency and reduce latency. Develop and implement strategies for database replication, clustering, failover mechanisms, and disaster recovery to ensure continuous data availability. Participate in on-call rotations and provide expert guidance during incidents, leading root cause analysis and implementing preventative measures. Automation & Tooling: Automate routine database operations, including provisioning, backups, restores, schema changes, and maintenance tasks, using scripting languages (e.g., Python, Go, Bash) and Infrastructure-as-Code (IaC) tools (e.g., Terraform, Ansible). Develop and maintain self-service tools and platforms to empower development teams to interact with databases safely and efficiently. Drive the adoption of CI/CD pipelines for database change management and deployments. Observability & Monitoring: Establish and enhance comprehensive monitoring, alerting, and logging solutions for database systems (e.g., Datadog, Prometheus, Grafana, Splunk, ELK Stack). Define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for database performance and availability. Security & Compliance: Implement and enforce database security best practices, including access control, encryption, data privacy regulations, and regular security audits. Ensure compliance with internal and external security policies and standards. Capacity Planning & Architecture: Conduct capacity planning and forecasting for future database growth, ensuring systems can handle increased workloads and data volumes. Propose and drive architectural changes to improve database scalability, reliability, and cost-efficiency across the organization. Stay current with emerging database technologies, industry trends, and best practices, evaluating and recommending new solutions. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). [5+] years of proven experience as a Database Administrator, Database Engineer, or Database Reliability Engineer in a high-transaction, large-scale production environment. Deep expertise in at least one major relational database (e.g., PostgreSQL, MySQL, MariaDB, SQL Server) and/or NoSQL database (e.g., MongoDB, DynamoDB, Cassandra). Strong proficiency in SQL, including advanced query optimization and debugging. Excellent scripting and automation skills (e.g., Python, Go, Bash). Hands-on experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform, Ansible). Solid understanding of cloud platforms (AWS, Azure, GCP) and database-as-a-service (DBaaS) offerings (e.g., AWS RDS, Azure SQL Database). Familiarity with observability and monitoring tools. Strong understanding of high availability, clustering, and disaster recovery strategies for databases. Experience with CI/CD workflows and automated deployment strategies. Solid Linux administration skills. Certifications in relevant database technologies (e.g., Microsoft Certified: Azure Database Administrator, AWS Certified Database - Specialty, PostgreSQL certifications). Demonstrable expertise in cloud-based data lake architectures (e.g., AWS S3 with Lake Formation/Glue, Azure Data Lake Storage Gen2, GCP Cloud Storage with Dataproc/BigQuery). Proven experience with modern data warehousing solutions (e.g., Snowflake, Databricks, Redshift, BigQuery, Synapse Analytics). Solid programming skills in Python, Scala, or Java, with experience in developing data processing applications (e.g., Spark). Hands-on experience with big data processing frameworks (e.g., Apache Spark, Hive, Presto/Trino). Preferred Skills (Nice-to-Have): Experience with distributed systems and microservices architecture. Knowledge of other database technologies (e.g., Kafka, OpenSearch, Redis). Experience in building self-service tooling for engineers. Familiarity with specific industry compliance standards (e.g., PII, PCI DSS, HIPAA). Regards Team HR