Description

Implement and support scalable data platforms by translating business requirements into technical strategies.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines and service modules to meet business demands.
• Manage the full data lifecycle, including onboarding, registration, discoverability, access controls, and cataloging.
• Execute data quality processes and implement automation within data management workflows.
• Conduct requirement workshops with stakeholders to translate needs into actionable data plans.
• Maintain operational stability by managing SLAs and resolving day-to-day incidents.

Required Skills

• 5+ years of professional experience in data analysis or related roles.
• Proficiency in Python and SQL.
• Strong understanding of relational database storage and structures.
• Deep knowledge of financial markets data and industry data management trends.
• Experience with data quality approaches and business-technology data issues.
• Ability to analyze systems operations data, such as SLAs and delivery quality, to drive improvements.
• Strong technical documentation and analytical problem-solving skills.

Preferred Skills

• Experience providing support for Enterprise data products.

Key Skills

Education

Any Graduate