Senior Data Architect
2 weeks ago
Location: North East
Salary: Competitive
NRG is seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will play a pivotal role in designing, developing, and maintaining our cloud-based data infrastructure.
The Role:
As a Senior Data Engineer, you will be responsible for leveraging Azure technologies to build robust data architectures that support the needs of various business units. You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure our data is reliable, secure, and scalable.
Key Responsibilities:
- Design and implement end-to-end data pipelines on Microsoft Azure.
- Develop, optimize, and maintain Azure Data Lake, Azure Synapse, Azure Databricks, and other cloud-based data platforms.
- Implement data transformation processes using Azure Data Factory and Databricks to support analytics and business intelligence needs.
- Ensure high performance, availability, and scalability of our data pipelines and systems.
- Collaborate with data scientists, analysts, and other stakeholders to deliver clean, reliable, and accessible data.
- Manage and monitor cloud resources, ensuring security, compliance, and best practices in data governance.
- Automate workflows and optimize data processes to minimize manual intervention and improve efficiency.
- Lead data engineering initiatives, mentoring junior team members, and sharing best practices in data architecture and development.
Requirements:
- 5+ years of experience in data engineering, with a focus on cloud-based solutions.
- Strong expertise in Microsoft Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, and Azure SQL.
- Proficiency in SQL, Python, or Scala for data processing.
- Experience with ETL/ELT design patterns and building scalable, distributed data architectures.
- Deep understanding of data modelling, data warehousing, and data integration best practices.
- Knowledge of Azure DevOps and infrastructure automation tools like Terraform or ARM templates.
- Strong problem-solving skills and ability to work independently or in a team.
- Experience with CI/CD pipelines and containerization technologies such as Docker and Kubernetes is a plus.
Preferred Qualifications:
- Experience with big data technologies like Spark, Hadoop, or Kafka.
- Knowledge of data governance, security, and compliance frameworks in the cloud.
- Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect.
If you are a motivated and experienced data engineer looking to take your career to the next level, we encourage you to apply for this exciting opportunity.
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