As a data engineer, you will be working with building of data products in the context of Data Mesh concept based on defined target vision and requirements.

We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.

You will join the Data Engineering Competence area within AI (Artificial Intelligence), Analytics & Data Domain and be an individual contributor in one of the data product-teams in Business Tech. The area supports all our brands globally to create, structure, guard and ensure data is available, understandable and of high quality.

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

• Passion for Data, people, and technology
• 4-6 years work experience including hands-on as either:
  • Data engineer on modern cloud data platforms /or advanced analytics environments.  
  • Software Engineer with cloud technologies and infrastructure
• Experience in GCP tools – Dataflow, Dataproc and Bigquery  
• 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-offs
• 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

Advantage if you also have: 

• Experience in data processing framework – Beam, Spark, Hive, Flink
• Business understanding of retail industry

This is a full-time position based in Bengaluru, India.

Apply by sending in your CV in English as soon as possible, but no later than the Date of 4th Oct. Due to data policies, we only accept applications through career page. 

Benefits

We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP.

In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.

Inclusion & Diversity

H&M is a part of H&M Group. At H&M Group, we’re determined to create and maintain inclusive, diverse, and equitable workplaces throughout our organization. Our teams should consist of a variety of people that share and combine their knowledge, experience, and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, on what we perceive possible and on how we choose to relate to our colleagues and customers all over the world. Hence all diversity dimensions are taken into consideration in our recruitment process. 

We strive to have a fair and equal process and therefore kindly ask you not to attach a cover letter in your application as they often contain information that easily can trigger unintentional biases.

Company Description

H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is fashion & quality at the best price in a sustainable way.  Learn more about H&M here.