Software Development Engineer III

Software Development Engineer III Back to job search results Tesco India Bengaluru Hybrid Full-Time Permanent Apply by 16-Jun-2025 About the role We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture; as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will lead our software developers; database architects; data analysts; and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams; systems; and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company s data architecture to support our next generation of products and data initiatives. What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, d ifferentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. * Your fixed pay is the guaranteed pay as per your contract of employment. * Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. * In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. * Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. * We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. * Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. * Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. * Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Responsibilities - Create and maintain optimal data pipeline architecture; - Assemble large; complex data sets that meet functional / non-functional business requirements. - Identify; design; and implement internal process improvements: automating manual processes; optimizing data delivery; re-designing infrastructure for greater scalability; etc. - Build the infrastructure required for optimal extraction; transformation; and loading of data from a wide variety of data sources - Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition; operational efficiency; and other key business performance metrics. - Work with stakeholders including the Executive; Product; Data; and Design teams to assist with data-related technical issues and support their data infrastructure needs. - Keep our data separated and secure - Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. - Work with data and analytics experts to strive for greater functionality in our data systems. You will need Mandatory skills: Hadoop; hive; Spark; any stream processing; Scala/Java; Kafka; and containerization/Kubernetes Good to have skills are Functional programming; Kafka Connect; Spark streaming; Helm Charts; hands-on experience in Kubernetes About us