
Lead Data Engineer
1 week ago
We are seeking a skilled professional to develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics.
The ideal candidate will design and implement scalable data architectures following Medallion Architecture and best practices.
Key Responsibilities:
- 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 Azure DevOps.
- Collaborate with stakeholders to understand data requirements and ensure data availability.
- Ensure data governance, security, and compliance in Azure-based data solutions.
- Monitor and troubleshoot data pipelines to maintain reliability and performance.
Must to have:
- Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, 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.
About the Role:
This is an excellent opportunity for a highly skilled data engineer to join our team and contribute to the development of innovative data solutions.
We offer a collaborative work environment, opportunities for growth and development, and a competitive compensation package.
Benefits:
- Opportunities for career advancement.
- Competitive salary and benefits package.
- Collaborative and dynamic work environment.
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