- Implement an architecture based on Azure cloud platforms (Data Factory Databricks Event Hub)
- Design develop optimize and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
- Discover understand and organize disparate data sources structuring them into clean data models with clear understandable schemas
- Contribute to the evaluation of new tools for analytical data engineering or data science
- Suggest and contribute to training and improvement plans for analytical data engineering skills standards and processes
Qualifications :
- Experience in data engineering and with cloud computing services solutions in the area of data and analytics preferably with Azure
- Conceptual knowledge of data analysis fundamentals e.g. dimensional modeling ETL reporting tools data governance data warehousing structured and unstructured data
- Knowledge of SQL and experience with the Python programming language
- Excellent communication skills and fluency in business English
- Understanding of big data databases such as Snowflake and BigQuery. Snowflake is preferred
- Experience with database development and data modeling ideally with Databricks or Spark
Remote Work :
Yes
Employment Type :
Full-time
Implement an architecture based on Azure cloud platforms (Data Factory Databricks Event Hub) Design develop optimize and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles Discover understand and organize disparate data sources structuring the...
- Implement an architecture based on Azure cloud platforms (Data Factory Databricks Event Hub)
- Design develop optimize and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
- Discover understand and organize disparate data sources structuring them into clean data models with clear understandable schemas
- Contribute to the evaluation of new tools for analytical data engineering or data science
- Suggest and contribute to training and improvement plans for analytical data engineering skills standards and processes
Qualifications :
- Experience in data engineering and with cloud computing services solutions in the area of data and analytics preferably with Azure
- Conceptual knowledge of data analysis fundamentals e.g. dimensional modeling ETL reporting tools data governance data warehousing structured and unstructured data
- Knowledge of SQL and experience with the Python programming language
- Excellent communication skills and fluency in business English
- Understanding of big data databases such as Snowflake and BigQuery. Snowflake is preferred
- Experience with database development and data modeling ideally with Databricks or Spark
Remote Work :
Yes
Employment Type :
Full-time
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