Azure Data Engineering and Governance
Budget: ₹37,500 – ₹75,000 INR
I am looking for a skilled data engineer to assist with a project encompassing data ingestion and storage, transformation and processing, as well as ensuring adherence to data governance and compliance standards.
Key Responsibilities:
- Implementing real-time data streaming and batch data processing for the ingestion and storage of data.
- Leveraging cloud-based data storage solutions, particularly within the Azure framework, to ensure scalability and reliability.
Data governance and data protection
Desired Outcomes:
- Data transformation and processing should focus on efficient and effective data cleaning and normalization.
- Further, data aggregation and summarization should help in deriving actionable insights.
- Feature engineering and data enrichment are crucial for enhancing the quality and relevance of our data assets.
Ideal Skills and Experience:
- Proficiency in Azure services, particularly in data engineering and data governance.
- Proven experience in developing and implementing robust data ingestion and storage solutions.
- A solid track record in data transformation and processing, with a focus on data cleaning and normalization, aggregation and summarization, and feature engineering.
- Familiarity with and adherence to data governance and compliance standards.
- Excellent problem-solving and analytical skills, with a keen eye for detail.
Key Responsibilities:
- Implementing real-time data streaming and batch data processing for the ingestion and storage of data.
- Leveraging cloud-based data storage solutions, particularly within the Azure framework, to ensure scalability and reliability.
Data governance and data protection
Desired Outcomes:
- Data transformation and processing should focus on efficient and effective data cleaning and normalization.
- Further, data aggregation and summarization should help in deriving actionable insights.
- Feature engineering and data enrichment are crucial for enhancing the quality and relevance of our data assets.
Ideal Skills and Experience:
- Proficiency in Azure services, particularly in data engineering and data governance.
- Proven experience in developing and implementing robust data ingestion and storage solutions.
- A solid track record in data transformation and processing, with a focus on data cleaning and normalization, aggregation and summarization, and feature engineering.
- Familiarity with and adherence to data governance and compliance standards.
- Excellent problem-solving and analytical skills, with a keen eye for detail.