Senior Data Engineer

Job Description

We re seeking a talented Data Engineer to join the Data Portfolio within our Retail & Commercial division. In this role, youll design and implement data processing solutions that support analytics, reporting, and data development across the division. You will drive best practice data engineering, challenge inefficient practices, and influence change to improve business outcomes. Your work will focus on delivering end-to-end solutions, uplifting the data engineering capability within the tribe, particularly in relation to our Customer Care Framework. Role Location - Bengaluru Role Type - Permanent, Full Time Job Grade - 4.2 What will your day look like? Design data structures for data ingestion, integration and analytics layers on a variety of technologies Working in a cross skilled squad with people both from business and technology to build end to end features Contribute to design patterns for on-premises and cloud. Support the Customer Care Framework by analyzing data across the four pillars (Identify, Treat, Manage, and Monitor) to proactively identify "customer care hotspots" and opportunities for improved customer outcomes. Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources What will you bring? MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering A strong background in data processing and software engineering and can build high quality, scalable data products. Designing data structures for ingestion, integration, and analytics across various technologies. Collaborating, contributing to design patterns for both on-premise and cloud environments, and optimizing data flows by creating robust, fault-tolerant pipelines that clean, transform, and aggregate messy data into organized sources. Core Skills and Expertise required: Data Engineering Languages - Solving complex problems using programming techniques, drives consistency across teams, and Leading code quality improvements with large-scale changes. Data Flow Engineering - Designing and leading complex data flow projects, making informed choices about pipeline architectures and ensuring optimal performance. Data Quality Assurance - Leading the design and implementation of complex data flow solutions, making informed decisions on technical choices and ensuring optimal performance. Data Modelling - Designing and implementing complex models like star and snowflake schemas and optimizes data storage. Incident, Risk and Issue Management - Independently assesses operational risks, applies security policies to mitigate issues, leads strategic incident management, and mentors others for effective response. Domain - product, process, Testing, Tools & system - Responsible for developing advanced testing methodologies, creating comprehensive strategies, mentoring teams to ensure high-quality deliverables, and applying domain knowledge to independently solve problems and improve systems or processes