Sr Azure Data Engineer (10 + Years )- REMOTE

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Overview

Kavyos Consulting is seeking a highly skilled Senior Azure Data Engineer with over 10 years of experience to join our dynamic team remotely. In this role, you will be responsible for designing, implementing, and maintaining data integration solutions on the Azure platform. As a Senior Engineer, you will leverage your expertise in big data technologies, SQL, and cloud architecture to enhance data-driven strategies, ensuring optimal performance and reliability of our data systems. You will collaborate with cross-functional teams to support data initiatives and assist in the development of scalable solutions that meet business needs.

Job Responsibilities

• Design and develop data pipelines and ETL processes on Azure Data Factory and other Azure services.
• Build and manage data lake, data warehouse, and data mart solutions using Azure Synapse Analytics.
• Implement data security best practices and ensure compliance with data governance policies.
• Conduct performance tuning and optimization of data queries and data workflows.
• Collaborate with business stakeholders and data scientists to understand data requirements and translate them into architectural solutions.
• Monitor and troubleshoot production data issues and implement efficient solutions.
• Stay updated on Azure technologies and industry trends to suggest continuous improvements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• Minimum of 10 years of experience in data engineering or related roles.
• Proficiency in Azure cloud services, including Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
• Strong experience with SQL databases and big data technologies, such as Spark or Hadoop.
• Solid understanding of data modeling, data architecture, and data warehousing concepts.
• Experience in scripting languages like Python or PowerShell for automating data tasks.
• Excellent analytical and problem-solving skills with a keen attention to detail.

Technologies & Tools

The Senior Azure Data Engineer will utilize a variety of technologies and tools, including but not limited to Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Power BI, Azure Blob Storage, and DataBricks. Additionally, experience with ETL tools, data modeling software, and big data frameworks such as Apache Spark will be essential for success in this position.

Ideal Candidates

The ideal candidate for this position is a proactive and detail-oriented data engineer with a passion for leveraging data to drive business insights. They should possess a strong ability to communicate complex technical concepts to non-technical stakeholders. Excellent teamwork and collaboration skills are essential, along with a commitment to continuous learning and adaptation in the rapidly evolving technology landscape. A strong problem solver who thrives in a fast-paced environment will find this role particularly rewarding.