DevOps Engineer – Data Engineering

Found in: Whatjobs AE C2 - 7 days ago


dubai, United Arab Emirates Marc Ellis Full time
Job Duration: 12 months extendableJob DescriptionWe’re on the lookout for a skilled DevOps Engineer with a strong background in data engineering. In this role, you’ll play a pivotal part in enhancing the data engineering processes by building and maintaining CI/CD pipelines, automating data workflows, and optimizing our data infrastructure.Responsibilities:
Create and manage CI/CD pipelines for data engineering projects, handling data ingestion, transformation, and delivery processes.Automate data workflows, ETL processes, and data pipeline deployments to boost efficiency and reduce manual workUtilize infrastructure as code (IaaC) tools like Terraform or Ansible to oversee data processing and storage resources.Establish and maintain monitoring and alerting systems to proactively spot and address issues in data pipelines and infrastructure.Implement and reinforce security best practices and data governance within data engineering workflows.Collaborate with data engineers, data scientists, and business analysts to comprehend their needs and deliver DevOps support for data-related projectsKeep comprehensive documentation of data workflows, configurations, and procedures.Continuously fine-tune data pipelines and infrastructure for improved performance, scalability, and cost-efficiency.Take charge of the release process, encompassing version control, change management, and detailed release notesSwiftly address and resolve data engineering-related incidents to minimize disruptions to business operations
Qualifications:
Bachelor’s degree in computer science, Information Technology, or related field.Demonstrated experience as a DevOps Engineer with a focus on data engineering projects.Strong background in developing and maintaining CI/CD pipelines.Proficient in automating data workflows, ETL processes, and data pipeline deployments.Knowledge of infrastructure as code (IaaC) tools like Terraform, Ansible, or similar.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing concepts.Proficiency in scripting and programming languages commonly used in data engineering (e.g., Python, SQL, Shell).Experience with version control systems (e.g., Git) and collaborative development.Strong problem-solving abilities with great attention to detail.Excellent communication and collaboration skills.
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