Data Specialist - Analytics and Data Platforms

Company Description


Are you a creative cloud Data Specialist passionate about solving problems, building new stuff and always have something new to learn? We are looking for data specialist to join our new Analytics and Data Platforms product area.
We are on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviours are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.
The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.




Job Description


We love design, and we love technology! Our diversity makes us strong and creates an inclusive and welcoming workplace where everyone’s individuality is highly valued. We are looking for Data Specialist who want to work in a modern organization, where agility, automation and cloud are non-negotiables.
Our product area is called Analytics and Data Platforms, and our teams are responsible for all data processing, reporting and advanced analytics capabilities across the whole value chain. This means tons of data and illimited learning opportunities. We welcome applications from varied backgrounds in data and analytics.
About the position
The Cloud Data Specialist will be responsible for designing and developing enterprise data solutions on cloud integrating native GCP/Azure services and 3rd party data technologies. A solid experience and understanding of considerations for design and development of data warehouses, data lakes and analytics platforms on GCP/Azure is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions.
Your responsibilities
Design pipelines and architectures for data processing
Work with business and data team to efficiently use Google Cloud/Azure platform to analyze data, build data models on Big query, big table or Synapse
Develop data architectures and data migration to cloud strategy
Work with Data Specialist to perform source system data analysis, data mappings and build data inventory
Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud
Integrate massive datasets from multiple data sources for data modelling
Implement methods for devops automation of all parts of the build data pipelines to deploy from development to production
Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management





Qualifications


Active Cloud Data Engineer Certification or Active Professional Cloud Architect Certification
Several years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP/Azure data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github or ADF,Synapse Analytics
Several years of experience in performing detail assessments of current state data platforms and creating an appropriate transition path to GCP/Azure cloud
You have an Academic degree, preferably at master’s level

Good to have:
Data migration experience from legacy systems including Sql Server, Oracle or Netezza
Experience with Data lake, data warehouse ETL build and design
Several years of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud
Several years of architecting and implementing next generation data and analytics platforms on GCP/Azure cloud





Additional Information


Do you think we are a match? We hope so!
Apply with CV and cover letter as soon as possible but at the latest 19th of May 2021. If you have any questions about the role, please contact Christopher.benita@hm.com. We love code! If you have contributed to Github project(s), we are more than happy to take a look!
This position is placed in Stockholm, Sweden.