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Following our Business Code of Conduct and always acting with integrity
and due diligence and have these specific risk responsibilities:
Data Architecture: Design,
build and management of realtime, near realtime and batch data architectures
that support threat detection, incident response and reporting through advanced
analytics, machine learning and GenAI capabilities.
Data Integration and Transformation: Implement
and manage the automated frameworks for integrating data from various security
sources into the security data lake. Also, the data transformation frameworks
to move data between the raw, trusted, and curated data layers.
Coding: Contribute to raising the quality bar of the team's codebase by
producing high-quality code, conducting thorough peer reviews, and
proactively providing constructive feedback to other team members on their
code
Automation and DevOps: Implement
various automations and DevOps practices to streamline the deployment,
configuration, and management of data platform components.
Collaboration and Communication: Collaborate with teams from various departments, effectively
communicating technical concepts and solutions to individuals with different
levels of technical expertise.
In addition
to the above core accountabilities, I am also responsible for contributing to
and supporting the ongoing recruitment and talent development process for
cyber data team at Tesco
Solid programming experience with programming languages
like Python, PySpark along with proficiency in SQL
Experience building data platforms on cloud
services like Databricks on Azure or GCP BigQuery
Good understanding of big data technologies
like Spark, Kafka, Flink etc.,
Solid grasp of Kubernetes, CI/CD and Terraform
and reusable modules
Working knowledge of ETL and ELT frameworks and
orchestration tools like Airflow and dbt
Ability to provide clear input, guide, empower junior
members of the team to achieve desired outcomes
Familiarity with machine learning and AI tools
is desirable
At Tesco, we are committed to providing the best
for you.
As a result, our colleagues enjoy a unique,
differentiated, 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.
Tesco in Bengaluru is a multi-disciplinary
team serving our customers, communities, and planet a little better every day
across markets. Our goal is to create a sustainable competitive advantage for
Tesco by standardising processes, delivering cost savings, enabling agility
through technological solutions, and empowering our colleagues to do even more
for our customers. With cross-functional expertise, a wide network of teams,
and strong governance, we reduce complexity, thereby offering high-quality services
for our customers.
Tesco in 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 3,30,000 colleagues
Tesco Technology
Today, our Technology team consists of over
5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and
India. In India, our Technology division includes teams dedicated to
Engineering, Product, Programme, Service Desk and Operations, Systems
Engineering, Security & Capability, Data Science, and other roles.
At Tesco, our retail platform comprises a
wide array of capabilities, value propositions, and products, essential for
crafting exceptional retail experiences for our customers and colleagues across
all channels and markets. This platform encompasses all aspects of our
operations – from identifying and authenticating customers, managing products,
pricing, promoting, enabling customers to discover products, facilitating
payment, and ensuring delivery. By developing a comprehensive Retail Platform,
we ensure that as customer touchpoints and devices evolve, we can consistently
deliver seamless experiences. This adaptability allows us to respond flexibly
without the need to overhaul our technology, thanks to the creation of
capabilities we have built.
At Tesco, inclusion
is at the heart of everything we do. We believe in treating everyone fairly and
with respect, valuing individuality to create a true sense of belonging. It's
deeply embedded in our values — we treat people how they want to be treated. Our
goal is to ensure all colleagues feel they can be themselves at work and are
supported to thrive. Across the Tesco group, we are building an inclusive
workplace that celebrates the diverse cultures, personalities, and preferences
of our colleagues — who, in turn, reflect the communities we serve and drive
our success.
At Tesco India, we
are proud to be a Disability Confident Committed Employer, reflecting our
dedication to creating a supportive and inclusive environment for individuals
with disabilities. We offer equal opportunities to all candidates and encourage
applicants with disabilities to apply. Our fully accessible recruitment process
includes reasonable adjustments during interviews - just let us know what you
need. We are here to ensure everyone has the chance to succeed.
We believe in
creating a work environment where you can thrive both professionally and
personally. Our hybrid model offers flexibility - spend 60% of your week
collaborating in person at our offices or local sites, and the rest working
remotely. We understand that everyone's journey is different, whether you are
starting your career, exploring passions, or navigating life changes.
Flexibility is core to our culture, and we're here to support you. Feel free to
talk to us during your application process about any support or adjustments you
may need.
Job ID: 151581071
Skills:
Scala, Apache Spark, Data Quality, Databricks, Data Governance, Azure DevOps, Logging, Alerting, Security, Cloud Platforms, GitHub Actions, Monitoring
Skills:
data warehouses , snowflake , BigQuery, Pyspark, Kafka, Sql, Docker, Terraform, Spark, Databricks, Azure, Kubernetes, Python, Airflow, data lakes, dbt, ELT frameworks, cybersecurity principles
Skills:
Golang, PostgreSQL, Kafka, Spring Boot, Microservices, Software Architecture, RDBMS, Design Patterns, Aws Ec2, Python, Api Gateway, Java, Artificial Intelligence, Big Data, Hazelcast, Redis, Rabbitmq, Django, ECS, Sqs, Asynchronous programming, GenAI tools, Domain-Driven Design, pub-sub technologies, caching tools, Cognito, DevOps practices, NoSQL databases, CQRS, unit and integration test cases
Skills:
Java, Scala, Apache Spark, Kafka, Databricks, Python, AirFlow, Hive SQL, AWS EMR, Big Data ecosystems, GCP BigQuery
Skills:
Algorithms, Nodejs, Ml, Java, Agile Methodologies, AWS, MySQL, Python, Golang, Elasticsearch, Nlp, MongoDB, data structures, CI CD tools, Cloud Platform services