Job Description
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Written by AI from the job title and company, not by TekIntegral, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Sr. Azure DevOps Data Engineer at TekIntegral will play a pivotal role in designing and implementing end-to-end data infrastructure solutions leveraging Microsoft Azure cloud services. This position requires a strong proficiency in DevOps principles, tools, and practices to ensure seamless deployment and operation of data pipelines and analytics solutions. The successful candidate will collaborate with cross-functional teams to optimize data management processes, enhance system performance, and implement best practices for continuous integration and deployment in a dynamic cloud environment.
Job Responsibilities
- Design, develop, and maintain robust data pipelines and orchestration workflows within the Azure Data Factory environment.
- Implement CI/CD practices in data engineering processes using Azure DevOps tools to ensure high-quality deployments.
- Administer and optimize data storage solutions in Azure, including Azure SQL Database, Cosmos DB, and Azure Blob Storage.
- Collaborate with data scientists and analysts to identify opportunities for process improvements and ensure reliable data flows.
- Monitor and troubleshoot issues in data pipelines, ensuring performance tuning and optimization as needed.
- Develop and maintain documentation for data architectures, data models, and processes to facilitate knowledge sharing.
- Conduct code reviews and provide constructive feedback to peers to uphold quality standards in data engineering practices.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Minimum of 5 years of experience in data engineering, with at least 2 years in a Azure DevOps environment.
- Proficient in Azure Data Factory, Azure SQL Services, Cosmos DB, and other Azure data services.
- Strong knowledge of DevOps practices, CI/CD pipelines, and automation tools such as Azure DevOps, Jenkins, or GitHub Actions.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Proficiency in programming languages such as Python, SQL, or Java for data manipulation and analysis.
- Excellent problem-solving abilities and strong communication skills to work effectively within a team.
Technologies & Tools
The Sr. Azure DevOps Data Engineer role at TekIntegral utilizes a variety of cutting-edge technologies and tools. Key platforms include Microsoft Azure for cloud computing, Azure Data Factory for data orchestration, Azure SQL Database for relational data management, and various DevOps tools such as Azure DevOps for CI/CD management and Terraform for infrastructure as code. Additionally, familiarity with storage solutions like Azure Blob Storage and data analytics platforms is essential for delivering robust data solutions.
Ideal Candidates
The ideal candidate for the Sr. Azure DevOps Data Engineer position at TekIntegral is a proactive thinker with a strong passion for data engineering and cloud technologies. They should exhibit exceptional analytical skills and possess a strong detail-oriented mindset, enabling them to identify inefficiencies quickly and propose innovative solutions. A collaborative spirit, resilience in the face of challenges, and an eagerness to stay abreast of emerging technologies will further set the right candidate apart in this dynamic environment.
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