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We are in search of a skilled and motivated Data Developer with expertise in Python and data integration to join our team. As a key member, you will play a crucial role in understanding the existing data structure and tables, analyzing data based on use cases to deliver business value, and implementing predictive and proactive service management solutions.
Main Responsibilities:
- Utilize Python to manipulate and cleanse data for ease of use.
- Read data from REST API using Python and create data pipelines, scheduling them to ingest data into SQL Server tables.
- Read data from Azure Graph and create data pipelines to SQL Server.
- Apply hands-on experience in Python, with proficiency in libraries such as pandas, NumPy, SQLAlchemy, and Matplotlib for effective data processing.
- Demonstrate expertise in data pipeline creation using REST API and Azure MS Graph, employing Python and shell scripting.
- Possess a good understanding of JSON files and the ability to process them in Python.
- Conduct data modeling to comprehend the data structure and model it for enterprise use.
- Utilize SQL Server and Query language for effective database management.
- Implement database views, complex joins, and concepts like Star & Snowflake schema, Fact & Dimensions, OLTP/OLAP, and role/row level security.
Required Skills:
- Hands-on experience in Python.
- Good experience with libraries like pandas, NumPy, SQLAlchemy, and Matplotlib.
- Proficiency in data pipeline creation using REST API and Azure MS Graph using Python and shell scripting.
- Strong understanding of JSON files and their processing in Python.
- Experience in data modeling for enterprise use.
- Proficient in SQL Server and Query language.
Preferred Skills:
- Experience working in an Agile/Scrum framework.
- Familiarity with Microsoft Flow.
- Scripting and Python programming skills.
- Understanding of Data Fabric.
- Familiarity with database views, complex joins, and concepts like Star & Snowflake schema, Fact & Dimensions, OLTP/OLAP, and role/row level security.
Hur du söker jobbet
Ansökan sker via e-post till [email protected].