Data Engineer Ii - Kraków, Polska - Tesco Technology

Tesco Technology Kraków, Polska

4 dni temu

W pełnym wymiarze godzin

Opis

In Demand forecasting, we build products that powers the engine of Supply Chain that makes sure customers get what products they need when they walk into a Tesco Store or shop through other channels.

We influence product availability through advanced forecasting and right ordering.

Its challenging since it needs to be done whilst keeping waste reduction and optimal stock holding.

This helps keep our operational costs in control and helps the bottom line.

The more we save, the more we can pass on to our customers w.r.t the right price.

It's fun since we are building better capabilities on newer platforms.

This involves a lot of learning since we are transforming our forecasting intelligence to algorithms on big data platforms.

We crunch a large volume of history, react to recent trends, promotional events, turn demands into the right kind of orders for supplier and store.

The nature of our products lends themselves to real time data inputs, machine learning and applied statistics, safely allowing us to say it's a fantastic problem space to work in and help solve.

We take responsibility for the software through its entire lifecycle.

We practice continuous integration and delivery and support our code through to production and beyond.

Company Description Tesco Technology is multi-functional and specialist team that drives operational excellence of services improves scale for our systems and processes globally and creates business leading capabilities.

We are an agile team of an industry-leading team of engineers.

We create the future continuous integration and delivery tools for Colleague and Customer & Loyalty areas, solving problems, and developing new features through quality, scalable, performant, and maintainable technical solutions.

The solutions that we are responsible for will have a global reach, impacting hundreds of thousands of Tesco colleagues worldwide.

We operate in a Dev Ops philosophy.

We take responsibility for the software through its entire lifecycle.

We practice continuous integration, delivery, and support of our code through to production and beyond.

As Tech Hub we cooperate within the group of Tesco Technology Hubs located in the UK, Poland, Hungary, and India.

Additional information Hybrid working We've recently moved to hybrid working.

We love working from home, but we also love connecting, collaborating, and innovating with our colleagues in person.

We meet in our office in Kraków for 2 days a week.

Benefits Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues.

If you choose to join our business, we will provide you with: Permanent contract from the go – as a sign of our trust in your abilities Up to 20% yearly salary bonus – for employment contract colleagues only – based on both individual and business performance Additional 4 days of paid leave to support your well-being and family life (only for employment contract colleagues) Heightened income costs (KUP) Mac Book as your tool for work Private healthcare (Lux Med) Cafeteria & Multisport Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O'reily Sports activities with a personal trainer in the office Referral Bonus Relocation Help If that sounds exciting, then we'd love to hear from you.

Qualifications Skills:

Bigdata Hadoop as your main area of expertise Spark, Spark SQL Py Spark or Scala Hive (Hive LLAP) Hbase, Phoenix, and other SQL and No SQL (Druid, Kylin would be added advantage) Hands-on with data ingestion and transformation (Sqoop/Nifi/Flume/Kafka, consuming APIs Understanding of how to efficiently structure data on HDFS (columnar stores, compression, partitions) Good experience with production of algorithms Design/Develop Batch and Streaming Framework when to use which Ability To give design for Streaming Applications Ability to turn a business problem into an algorithmic formulation (incl.

break down into multiple parts if necessary) Understanding Of ML Techniques Enabling build of data platform capabilities – Back Testing, disaster recovery, Querying engine for analysts, etc.

Experience: 2+ years of commercial software development experience and 3+ years in big data platform Problem solving, analysis and computational skills.

You are comfortable designing systems and reasoning about them.

When tackling problems, you take a thorough and logical approach to solving them and you retain ownership through to resolution.

Designing and developing systems for high availability and scalability Experience working with data, algorithms and setting up solid data platform capabilities Depth of professional software engineering experience and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience of running and supporting software in production