Role Description

• Partner with Product Managers, Data Scientists, and Engineers to define business requirements and success metrics.
• Design, build, and maintain scalable data pipelines and data solutions.
• Develop dashboards, logging frameworks, and reporting tools from the ground up.
• Analyse large-scale product, advertiser, and engagement datasets to generate actionable insights.
• Identify gaps in data infrastructure and recommend improvements.
• Support data quality, governance, privacy, and compliance initiatives.
• Drive data-informed decision-making across product and business teams.

Requirement

• 5+ years of experience in Data Engineering or a related technical role.
• Expert-level SQL skills with experience working on large-scale datasets.
• Advanced Python programming skills for scripting, automation, and data engineering use cases.
• Strong hands-on experience with Spark, Hive, Presto, or similar big data technologies.
• Proven experience building data pipelines, dashboards, and data solutions from scratch.
• Familiarity with AI-assisted coding and development tools is highly advantageous.
• Ability to work independently and navigate ambiguous problem statements.
• Excellent stakeholder management and communication skills.
• Experience within technology, social media, e-commerce, ride-hailing, food delivery, or other consumer internet platforms with large user bases is highly preferred.