Role Type : Individual Contributor

ROLE OVERVIEW :

- Support large-scale enterprise data solutions with a focus on high availability, low latency and scalability.

- Design and develop customized database automation tools using python and other automation frameworks.

- Provide and automation capabilities for database Disaster Recovery and performance tuning

- Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies

- Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.

- Knowledge of the configuration of monitoring solutions and the creation of dashboards (Prometheus, Grafana, Log Analytics, Chao Search)

KEY RESPONSIBILITIES :

- Automation - Uses knowledge of best practices in coding to build pipelines for build, test and deployment of processes/components; Understand technology trends and use knowledge to identify factors that can be used to automate system/process deployments

- Data / Database Management - Uses knowledge of Database operations and applies engineering skills to improve resilience of products/services. Designs, codes, verifies, tests, documents, modifies programs/scripts and integrated software services; Applies industry best standards and tools to achieve a well-engineered result.

- Operational Excellence - Prioritizes and organizes own work; Monitors and measures systems against key metrics to ensure availability of systems; Identifies new ways of working to make processes run smoother and faster

- Technical Communication/Presentation - Explains technical information and the impacts to stakeholders and articulates the case for action; Demonstrates strong written and verbal communication skills

- Troubleshooting - Applies a methodical approach to routine issue definition and resolution; Monitors actions to investigate and resolve problems in systems, processes and services; Determines problem fixes/remedies. Assists with the implementation of agreed remedies and preventative measures; Analyses patterns and trends

REQUIREMENTS :

- Expert level Python scripting for orchestration and DBA automation

- Strong PL/SQL for operational tooling and remediation

- Design cloud/on premise infrastructure automation using Terraform / IaC/Jenkins/Ansible..etc

- Build reusable frameworks for AWS, GCP, and Azure deployments

- Develop service-catalog and golden paths (Backstage integration)

- Design and maintain CI/CD pipelines for infra and database automation

- Bash scripting and DevSecOps best practices

- Bachelors / Masters degree in Computer Science or related field

- 7+ years of experience as database automation engineer using DevOps, and Automation using python.

- Familiarity with observability tools such as Grafana, Prometheus, consul

Key Responsibilities :

- Design, build, and maintain batch and real time data pipelines

- Implement and manage CDC pipelines (e.g., Debezium, GoldenGate, AWS DMS)

- Develop and optimize Python based ETL / ELT solutions

- Build reliable data ingestion from RDBMS, APIs, and streaming sources

- Ensure data quality, performance, and observability

- Strong Python programming experience

- Solid SQL and data modeling knowledge

- Hands on Data Engineering & CDC pipeline implementation

- Experience with DevOps tools (Git, CI/CD, Docker)

- Exposure to cloud platforms (AWS / Azure / GCP)

Good to Have :

- Kafka / streaming architectures

- Spark / PySpark / Databricks

- Kubernetes & Infrastructure as Code

- Data science or MLOps exposure

- Experience with Oracle, PostgreSQL, or MySQL

TARGET PROFILE : DBA | Automation (Traditional) | PL/SQL | DevOps | Cloud | | Python (Expert)