Responsibilities:

1.Collaborate with cross-functional teams to understand data requirements and develop effective data models.

2.Design, build, and maintain scalable data pipelines and ETL processes.

3.Implement data quality and data validation procedures to ensure data accuracy and consistency.

4. Develop and optimize database structures for efficient data storage and retrieval.

5.Conduct data profiling, analysis, and troubleshooting to identify and resolve data-related issues.

6. Stay updated with the latest industry trends and best practices in data engineering.

Requirements:

1. Previous experience working in a similar role is highly preferred.

2. Solid understanding of data modeling concepts and methodologies.

3. Proficient in programming languages like Python, SQL, and/or Scala.

4. Experience with data integration tools (e.g., Airflow, DataFactory, Databricks).

5. Strong knowledge of database technologies (e.g., Hive, Synapse).

6. Familiarity with Azure cloud platform.

7. Ability to work independently and collaboratively in a team environment.

8.Excellent problem-solving skills and attention to detail.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.