Implement 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 and structure them into clean data models with clear understandable schemas
Contribute to evaluating 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 Big Data databases such as Snowflake BigQuery etc. Snowflake is preferred
Experience with database development and data modeling ideally with Databricks or Spark
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