Data Operations Analyst

Key Skills:

Roles and Responsibilities:

• Execute ETL processes to ensure accurate data extraction, transformation, and loading.
• Utilize advanced SQL skills for data querying, validation, and reporting.
• Apply basic Python proficiency for data handling, automation, and script-based validations.
• Follow structured processes and perform routine quality checks with discipline.
• Collaborate with stakeholders to identify data needs and provide solutions.
• Maintain documentation of processes and workflows to enhance operational efficiency.
• Adapt to and learn new orchestration tools, such as Airflow, for job scheduling and management.
• Engage with cloud storage services like AWS S3 for data management tasks.
• Contribute to the enhancement of operational workflows and automation of quality checks.

Skills Required:

• ETL process execution for data extraction, transformation, and loading
• Advanced SQL querying, validation, and reporting
• Python scripting for data handling and automation
• Routine quality checks and process adherence
• Collaboration with stakeholders for data solutions
• Documentation of processes and workflows
• Familiarity with Airflow for job scheduling (nice-to-have)
• Experience with AWS cloud storage (nice-to-have)
• Continuous improvement of operational workflows and automation

Education: