
Highly Skilled Software Professional
24 hours ago
We are seeking an experienced Senior Software Engineer/Technical Specialist to join our team. The successful candidate will have a strong background in software engineering and technical specialization.
Job Summary:
- To design, develop, and maintain scalable data architectures and solutions in Azure Data Engineering.
- To perform data ingestion, transformation, and orchestration across structured and unstructured datasets using Azure Data Factory, Synapse, Fabric, and Databricks.
- To develop and maintain data lake solutions in Azure Data Lake Storage (ADLS) Gen2.
- To write and optimize SQL queries for data extraction, transformation, and analysis.
- To implement CI/CD pipelines for data workflows using Azure DevOps.
- To collaborate with stakeholders to understand data requirements and ensure data availability.
- To ensure data governance, security, and compliance in Azure-based data solutions.
- To monitor and troubleshoot data pipelines to maintain reliability and performance.
Key Responsibilities:
The Senior Software Engineer/Technical Specialist will be responsible for:
- Designing and implementing data architectures and solutions in Azure Data Engineering.
- Developing and maintaining data lake solutions in Azure Data Lake Storage (ADLS) Gen2.
- Writing and optimizing SQL queries for data extraction, transformation, and analysis.
- Implementing CI/CD pipelines for data workflows using Azure DevOps.
- Collaborating with stakeholders to understand data requirements and ensure data availability.
Required Skills and Qualifications:
The ideal candidate will have:
- Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, and Databricks.
- Expertise in SQL, T-SQL, and Python for data processing and transformation.
- Hands-on experience with PySpark for big data processing.
- 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 Azure DevOps, Git, and automated deployments.
- Understanding of data modeling, data warehousing, and schema design principles.
Benefits:
This is an excellent opportunity to work on challenging projects and develop your skills in Azure Data Engineering. You will have access to ongoing training and professional development opportunities.
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