Arbetsbeskrivning

Please read carefully before sending your application

Responsibilities:

• Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision

• Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).

• Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.

• Work close to the Product Owner and other stakeholders around vision for existing data products and identifying new data products to support our customer needs

• Work with product teams within and outside our domain around topics that relate to the data mesh concept.

• Evaluate and drive continuous improvement and reducing technical debt in the teams

• Maintain expertise in latest data/analytics and cloud technologies

Must have Qualifications :

• Passion for Data, people, and technology

• At least 4+ year’s work experience including hands-on as either:

o Data engineer on modern cloud data platforms /or advanced analytics environments.

o Software Engineer with cloud technologies and infrastructure

• Experience in different data formats (Avro, Parquet)

• Experience in data query languages (SQL or similar)

• Experience in data centric programming using one of more programming languages Python, Java /or Scala.

• Good understanding of different data modelling techniques and trade-off

• Knowledge of NoSQL and RDBMS databases

• Have a collaborative and co-creative mindset with excellent communication skills

• Motivated to work in an environment that allows you to work and take decisions independently

• Experience in working with data visualization tools

• Fluent in English both written and verbal

Advantage if you also have:

• Experience in GCP tools – Dataflow, Dataproc and Bigquery

• Experience in data processing framework – Beam, Spark, Hive, Flink

• Business understanding of retail industry