Tesco Bengaluru: We are a multi-disciplinary team creating a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility, providing cutting-edge technological solutions and empowering our colleagues to do ever more for our customers. With cross-functional expertise in Global Business Services and Retail Technology & Engineering, a wide network of teams and strong governance we reduce complexity thereby offering high quality services for our customers. Tesco Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 4,40,000 colleagues.
Tesco Technology consists of people from a number of different backgrounds, but having a common purpose to serve our shoppers a little better every day with our retail technological solutions. We shared a common interest in harnessing innovations in technology to enhance their shopping experience at Tesco stores. Whether making products, software or systems, our teams focuses on various aspects from taking strategic ownership of the architecture to delivering technological solutions such as design, testing, deployment, infrastructure, operation and security of the systems to ensure agile, smooth and safe operations. These help us to deliver the maximum business impact. Teams refine their internal processes to best fit their own needs, working to build core capabilities in application and services. We collaborate globally across teams to build end-to-end customer-facing solutions, as well as to share knowledge, experience, tools and techniques.
At Tesco, inclusion means that Everyones Welcome. Everyone is treated fairly and with respect; by valuing individuality and uniqueness we create a sense of belonging.
Diversity and inclusion have always been at the heart of Tesco. It is embedded in our values: we treat people how they want to be treated. We always want our colleagues to feel they can be themselves at work and we are committed to helping them be at their best.
Across the Tesco group we are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues who in turn help to build the success of our business and reflect the diversity of the communities we serve.
On behalf of Tesco Bengaluru, we must caution all job seekers and educational institutions that Tesco Bengaluru does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Tesco. Further, Tesco Bengaluru does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events.
Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Tesco Bengaluru shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution.
In the event that you come across any fraudulent activities in the name of Tesco Bengaluru, please feel free report the incident at firstname.lastname@example.org
We are seeking high-performing developers to work on re-platforming an on-premise digital wallet into a set of microservices. Developers will be expected to work on maintaining the legacy product and deliver business-driven changes alongside rebuild work. The candidate will be expected to be up to date with modern development technologies and techniques. You will be expected to have good communication skills and to challenge; where appropriate what how and why of code/designs to ensure the optimal end solution.
-Good knowledge and working experience on Big data Hadoop ecosystem & distributed systems
-Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
-The Data Engineer would work with a highly efficient team of data scientists and data engineers
-Excellent programming skills in Scala/Spark & shell scripting
-Prior experience in using technologies like Oozie Hive Spark HBase Nifi Sqoop and Hbase and Zookeeper
-Good knowledge on engineering practices like CI/CD Jenkins Maven & GIT Hub
-Good experience on Kafka and Schema registry
-Good exposure on cloud computing (Azure/AWS)
-Aware of different design patterns optimization techniques locking principles
-Should know how to scale systems and optimize performance using caching
-Should have worked on batch and streaming pipelines
-Implement end-to-end Hadoop ecosystem components and accompanying frameworks with minimal assistance.
-Good understanding of NFRs ( scalability reliability maintainability usability fault-tolerant systems)
-Drive out features via appropriate test frameworks.
-Translate small behavior requirements into tasks & code.
-Develop high-quality code that can lead to rapid delivery. Ruthlessly pursuing continuous integration and delivery.
-Commit code early and often demonstrating my understanding of version control & branching strategies.
-Apply patterns for integration (events/services) and Identify patterns in code and refactor the code towards them where it increases understanding and/or maintainability with minimal guidance.
-Follow the best practices of continuous BDD/TDD/Performance/Security/Smoke testing.
-Work effectively with my product stakeholders to communicate and translate their needs into improvements in my product.
-Certifications like Hortonworks / Cloudera Developer Certifications added an advantage
-Excellent communication and presentation skills should demonstrate thought leadership and influence people
-Strong computer science fundamentals logical thinking and reasoning
-Participate in team ceremonies.
-Support production systems resolve incidents and perform root cause analysis
-Debug code and support/maintain the software solution.
Hadoop Hive Spark Scala Oozie Kafka Sqoop