Cloud & Data Ops Specialist- I

The Cloud and data operations specialist-I is responsible for the ongoing monitoring, support, and optimization of cloud infrastructure and Data operations. This role focuses on ensuring the smooth Data operations, reliability, and performance of cloud systems and services. This role will collaborate closely with cloud and data engineers, and business stakeholders to identify and resolve issues, follow up improvements’ implementation, and maintain cloud services and data operations.

Responsibilities:

• Diligently observe and interpret system alerts and dashboards for cloud and data operations.

• Ensure the smooth operation of data pipelines running on systems such as Databricks or Spark.

• Respond to and resolve incidents, ensuring minimal disruption and rapid recovery with the help of CloudOps and DE/DS teams.

• Escalate urgent and complex issues appropriately, ensuring compliance with SLAs and internal KPIs.

• Collaborate with internal departments and occasionally with customers to ensure smooth operations.

• Execute routine tasks according to schedules, including DataOps, system maintenance tasks, and Internal audits.

• Work with cloud and data engineers, development, and operations teams to improve cloud systems, services, and data operations reliability, scalability, and performance.

• Maintain up-to-date documentation of cloud observability and data operations.

• Identify opportunities to automate routine tasks and performance improvement and work with cloud engineering, DE/DS teams to improve operational efficiency.

Qualifications:

Minimum Education:

• Bachelor's degree in computer science or a related field

Minimum Work Experience (years):

• 1+ years of experience working on an operations-style team like NOC, data operations or support

Key Skills and Competencies:

• Experience with Linux, Windows OS, web services, networking, databases, public cloud platforms (Azure, AWS, and GCP), and data services.

• Strong understanding of monitoring and observability concepts like infrastructure, systems, APM, system availability, latency, performance, and end-to-end monitoring

• Strong understanding of data pipelines, engineering, and operations concepts

• Experience with data integration tools

• Proficiency in SQL and at least one scripting language (Python, Bash).

• Experience operating in distributed systems

• Experience with ITIL and ITSM processes, including Incident, Problem, Change, Knowledge, and Event Management.

• Knowledge of enterprise and open-source monitoring and log management systems.

• Strong problem-solving and analytical skills

• Excellent attention to detail and organizational skills

• Team working skills, perform tasks with minimal supervision, ability to work independently and as part of a team

• A proactive approach to identifying issues, problems, and collaborate to implement process improvements

• Ability to multi-task, follow instructions properly, and adapt in a fast-paced environment

• Good sense of ownership and commitment towards work, with adherence to standards and procedures

• Critical and creative thinking skills, and a willingness to learn modern technologies and skills 

• Ability to work evening shifts, weekends, and holidays 

• Flexibility to adapt to shifting or changing schedules

• Willingness to work on holidays and report for overtime or on rest days if needed 

• Ability to work extended shifts if necessary