Cloud Data Engineering Leader
1 day ago
**Job Title:** Cloud Data Engineering Leader
**Location:** [Location: Assuming based on the job title and company]
**Salary:** $180,000 - $220,000 per year
We are seeking a highly experienced Cloud Data Engineering Leader to join our team at DFCS Technologies. As a key member of our data engineering team, you will be responsible for designing, developing, and managing scalable, reliable, and secure data pipelines on the Microsoft Azure platform.
Main Responsibilities:
- Provide technical leadership and guidance to the data engineering team.
- Design and implement robust and scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, Databricks, and other relevant tools.
- Develop data ingestion, transformation, and loading processes to extract value from diverse data sources.
- Orientate data quality, integrity, and security throughout the data lifecycle.
- Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and translate them into technical solutions.
Team Management:
- Lead and mentor a team of data engineers.
- Assign tasks, monitor progress, and provide timely feedback.
- Foster a collaborative and innovative team culture.
- Recruit and onboard new team members.
Cloud Architecture:
- Design and implement cloud-native data architectures on Azure.
- Leverage Azure Data Lake Storage for efficient data storage and retrieval.
- Utilize Azure Synapse Analytics for unified data ingestion, analytics, and ETL.
- Explore the capabilities of Microsoft Fabric for a unified data and analytics platform.
Data Governance:
- Establish and enforce data governance policies and standards.
- Implement data lineage and impact analysis to ensure data traceability.
- Monitor data quality and identify potential issues.
Requirements:
- Strong proficiency in Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake Storage.
- Experience with SQL, Python, and PySpark.
- Knowledge of data warehousing, data modeling, and ETL processes.
- Understanding of cloud computing principles and Azure services.
- Experience with data governance and data quality practices.
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to lead and mentor a team of data engineers.
Preferred Qualifications:
- Experience with Microsoft Fabric.
- Certifications in Azure Data Engineering or related fields.
- Knowledge of machine learning and AI concepts.
- Experience with DevOps practices and CI/CD pipelines.
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