Information
- Start: ASAP
- Period: long-term
- FTE: 1
- Business Area: Digital Transformation
- Project aim: to transform our IT infrastructure enable seamless data-driven decision-making and foster agility in responding to evolving customer needs.
- Role focus: you will design build and manage data pipelines that support data-driven decision making and machine learning across various products and services. You will collaborate with stakeholders to understand data requirements model data flows transform raw data ensure data quality and comply with data governance standards.
Task
- Collaborate across squads to define data requirements roadmaps use cases and metrics for data products or features.
- Design and document data models data pipelines schemas and flows that meet business and analytical needs.
- Extract transform and load data from various sources using query languages tools and APIs.
- Ensure data quality completeness and reliability across data pipelines.
- Develop and implement data tools tests and monitors to optimize data performance and troubleshoot issues.
- Comply with data governance policies and standards for data security privacy and classification.
- Contribute to the data glossary and data catalog to document data sources definitions and lineage.
Requriement
- Bachelors or Masters degree in Computer Science Math Software Engineering Computer Engineering or related field.
- Experience in data engineering data science software development or data modeling.
- Knowledge of programming languages such as Python Java Scala or C#
- Knowledge of Microsoft Azure data platform
- Experience with data tools and frameworks such as Databricks Spark Kafka
- Knowledge of SQL data query language
- Experience with Azure Data Lake Azure Data Factory
- Experience with data governance and compliance standards such as GDPR
- min. intermediate of English
Plus
- Experience with data visualization tools such as Power BI
- Strong communication collaboration and problem-solving skills
- Relevant Microsoft Cloud certifications are a plus
Required Experience:
IC
InformationStart: ASAPPeriod: long-termFTE: 1Business Area: Digital TransformationProject aim: to transform our IT infrastructure enable seamless data-driven decision-making and foster agility in responding to evolving customer needs.Role focus: you will design build and manage data pipelines that s...
Information
- Start: ASAP
- Period: long-term
- FTE: 1
- Business Area: Digital Transformation
- Project aim: to transform our IT infrastructure enable seamless data-driven decision-making and foster agility in responding to evolving customer needs.
- Role focus: you will design build and manage data pipelines that support data-driven decision making and machine learning across various products and services. You will collaborate with stakeholders to understand data requirements model data flows transform raw data ensure data quality and comply with data governance standards.
Task
- Collaborate across squads to define data requirements roadmaps use cases and metrics for data products or features.
- Design and document data models data pipelines schemas and flows that meet business and analytical needs.
- Extract transform and load data from various sources using query languages tools and APIs.
- Ensure data quality completeness and reliability across data pipelines.
- Develop and implement data tools tests and monitors to optimize data performance and troubleshoot issues.
- Comply with data governance policies and standards for data security privacy and classification.
- Contribute to the data glossary and data catalog to document data sources definitions and lineage.
Requriement
- Bachelors or Masters degree in Computer Science Math Software Engineering Computer Engineering or related field.
- Experience in data engineering data science software development or data modeling.
- Knowledge of programming languages such as Python Java Scala or C#
- Knowledge of Microsoft Azure data platform
- Experience with data tools and frameworks such as Databricks Spark Kafka
- Knowledge of SQL data query language
- Experience with Azure Data Lake Azure Data Factory
- Experience with data governance and compliance standards such as GDPR
- min. intermediate of English
Plus
- Experience with data visualization tools such as Power BI
- Strong communication collaboration and problem-solving skills
- Relevant Microsoft Cloud certifications are a plus
Required Experience:
IC
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