
Data Architect Lead
1 day ago
Key Responsibilities:
- Design and implement scalable data architectures following best practices.
- Develop and optimize ETL/ELT pipelines using Azure services.
- Perform data ingestion, transformation, and orchestration across structured and unstructured datasets.
- Develop and maintain data lake solutions in Azure Data Lake Storage (ADLS) Gen2.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Implement CI/CD pipelines for data workflows using DevOps tools.
- Collaborate with stakeholders to understand data requirements and ensure data availability.
- Ensure data governance, security, and compliance in cloud-based data solutions.
Must have skills:
- Strong experience in Azure Data Engineering with Fabric, Databricks.
- Expertise in SQL, T-SQL, and Python for data processing and transformation.
- Hands-on experience with big data processing technologies.
- Experience in designing ETL/ELT pipelines and working with large datasets.
- Proficiency with Azure Data Lake (ADLS) Gen2 for data storage and processing.
- CI/CD and DevOps knowledge, including automated deployments.
- Understanding of data modeling, data warehousing, and schema design principles.
Good to have skills:
- Experience with New Age Technologies like Low Code, No Code.
- Familiarity with Data Governance and Security best practices in cloud-based data solutions.
- Knowledge of DataOps methodologies and best practices.
- Experience with APIs, REST services, and integrating third-party data sources.
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