Job description
Our client is a cutting-edge retail innovation company, they provide cutting-edge data solutions, cloud infrastructure, and AI-powered analytics to optimize operations and enhance customer experiences.
Key Responsibilities:
We apologies that only shortlisted candidates will be contacted.
For more details, please feel free to ping me for a chat or send me an email at hfong@captarpartners.com📩Please let me know if you have any referrals or if you are interested in the role.
Key Responsibilities:
- Design, implement, and maintain scalable ETL pipelines using Azure Data Factory, Azure Synapse Analytics, and Data Flow.
- Develop and optimize data models, tables, and views for data processing and storage.
- Perform data migration from various sources (SQL Server, MySQL, MongoDB, etc.) to Azure cloud platforms.
- Automate data processes and workflows using Python, SQL, and PowerShell.
- Ensure data security, governance, and compliance with industry best practices.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Monitor and enhance data pipelines for high availability and performance.
- 3+ years of experience as a Data Engineer working with Azure-based solutions.
- Strong proficiency in Azure Data Factory, Synapse, Data Flow, and Power BI.
- Experience with ETL development, data modeling, and SQL-based data transformation.
- Skilled in Python, SQL, and PowerShell for automation and data processing.
- Experience in data migration and working with cloud-based data warehouses.
- Knowledge of big data technologies such as Apache Spark, PySpark, and Airflow is a plus.
- Excellent problem-solving and communication skills.
We apologies that only shortlisted candidates will be contacted.
For more details, please feel free to ping me for a chat or send me an email at hfong@captarpartners.com📩Please let me know if you have any referrals or if you are interested in the role.
