
Chief Data Solutions Architect
7 days ago
As a senior data engineer, you will play a key role in designing and developing complex data solutions using Azure services. Your primary objective will be to ensure scalability, efficiency, and performance.
Key Responsibilities
- Develop and deploy large-scale data pipelines and integration solutions incorporating data from SAP and Salesforce.
- Maintain a deep understanding of Azure cloud services including Azure Data Lake, Databricks, Fabric, Azure Data Factory, and Machine Learning.
- Collaborate with internal stakeholders to design scalable data solutions.
- Ensure data accuracy and reliability throughout the ETL lifecycle.
- Provide technical guidance to junior team members.
Required Qualifications
- Bachelor's degree in Computer Science or related field.
- 4-8 years of experience as a data engineer with a focus on Azure Data Platform.
- Strong proficiency in:
- Azure Data Lake
- Databricks
- Azure Data Factory
- Microsoft Fabric
- Azure Machine Learning
- Azure Cognitive Services
- Azure Cosmos DB or NoSQL databases
- Solid understanding of warehouse, lake, and lakehouse architectures.
- Hands-on experience integrating data from enterprise platforms like SAP and Salesforce.
- Relevant Azure certification: DP-203 (Associate) or AZ-305.
- Strong skills in SQL, Python, and cloud-based ETL development.
- Experience working in Agile environments.
- Familiarity with DAMA principles is beneficial.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
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