1. Understand the business deeply and translate business problems to data engineering, data science, and analytics problems
2. Continuously monitor and optimise data processes and systems to improve efficiency, speed, and reliability
3. Design, build, and maintain automated and scalable data pipelines that collect, integrate, and transform data from various sources into MIS reports for business and risk decisioning
4. Extract, prepare, and analyse large production datasets from various systems to support risk audits; design and perform continuous automated monitoring using analytics to detect control weaknesses and potential risks
5. Analyse data to identify trends, patterns,
and root causes of rejections during onboarding; propose and help implement process improvements and corrective actions to reduce future rejections
6. Work with stakeholders to understand reporting needs and ensure MIS systems and reports provide the necessary insights
7. Collaborate with Audit, Policy and, Business teams to interpret analytical findings, conduct indepth analysis of specific incidents to determine systematic issues,
8. Perform statistical analysis, identify trends, and create reports and presentations to inform business strategy and decisionmaking
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Engineer (Mumbai)
🏢 Aditya Birla Insulators
📍 Mumbai
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