Data Engineer
6 days ago
Role Overview
At H&M Group, we're seeking a talented Data Engineer to join our Portfolio Brands team. This role is a key position in shaping our company's data foundation, driving innovation, and delivering business value.
Key Responsibilities
- Create and maintain a scalable data architecture for our Portfolio Brands, ensuring seamless data integration and processing.
- Design and develop data pipelines to extract, transform, and load data from various sources into our data warehouses.
- Collaborate with cross-functional teams to drive data quality initiatives, troubleshoot issues, and optimize data processing.
- Partner with stakeholders to define and implement data-intensive solutions, driving business growth and customer satisfaction.
- Stay up-to-date with the latest data/analytics and cloud technologies, ensuring our data infrastructure remains cutting-edge.
Requirements
- 4+ years of experience in data engineering, software engineering, or a related field, with a focus on cloud data platforms and advanced analytics environments.
- Hands-on experience with data query languages (SQL, BigQuery), data-centric programming (Python, Java, Scala), and data modeling techniques.
- Knowledge of GCP tools (Cloud Functions, Cloud Run, VertexAI, Dataflow, Dataproc, BigQuery), data processing frameworks (Beam, Spark, Hive, Flink, Iceberg), and data visualization tools.
- Excellent communication and collaboration skills, with the ability to work independently and drive results.
What We Offer
We provide a dynamic work environment, opportunities for growth and development, and a competitive compensation package. If you're passionate about data-driven innovation and want to contribute to shaping the future of H&M Group, we encourage you to apply for this exciting role.
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