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Senior Azure Data Engineer
4 weeks ago
ArvatoConnect is seeking a highly skilled and experienced Senior Azure Data Engineer to join our team and play a pivotal role in our data modernization journey. We are looking for a visionary professional with a passion for data who can design, build, and maintain robust data pipelines and solutions on the Microsoft Azure cloud platform.
Responsibilities:
- Architect, design, and develop enterprise-grade data pipelines and data storage solutions
- Implement data integration processes for seamless data flow across systems
- Provision data storage solutions, ingesting streaming and batch data
- Transform and cleanse data to ensure its accuracy and consistency
- Implement security measures and data retention policies to safeguard sensitive information
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications
- Lead quality assurance (QA) activities to ensure the integrity of data solutions
- Estimate technical tasks, collaborate with project managers, and contribute to project planning
- Establish and maintain best practices for reusable code, libraries, patterns, and frameworks
- Ensure data quality, security, and adherence to data governance standards
- Monitor and troubleshoot data pipelines, identifying and resolving potential issues
- Mentor and train junior data engineers to foster knowledge sharing and expertise within the team
Qualifications and Skills:
- Proven experience as a Senior Data Engineer with 5+ years of industry experience
- In-depth knowledge of modern data architecture concepts and best practices
- Expert-level proficiency in Azure Synapse, Azure Data Factory, Azure SQL Pools, ADLS Gen 2, Purview, and Azure App Service
- Familiarity with Microsoft Fabric is an asset
- Expertise in designing and building robust data pipelines using both batch and streaming ingestion methods
- Strong understanding of Azure DevOps processes (including CI/CD)
- Thorough grasp of Azure's comprehensive technology stack
- Proven experience in common data warehouse modeling principles, including Kimball and OBT
- Knowledge of Microsoft BI Stack
- Expertise in data management, data integration, and data processing methodologies
- Experience in developing and implementing security models to safeguard data integrity
- Proficient in programming languages like Python and SQL/T-SQL
- Proven ability to lead and manage small and large data engineering teams
- Experience with normalised and dimensional data modeling approaches
- Demonstrable ability to guide the development of data requirements and drive user-friendly experiences
- Expertise in working effectively in fast-paced agile environments
Education and Certification:
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
- Microsoft Azure Data Engineer Associate certification is preferred
Additional Skills and Qualities:
- Strong analytical and data analysis skills
- Excellent understanding of data governance practices
- Exceptional communication and collaboration skills
- Creative problem-solving and troubleshooting abilities
- Keen customer engagement skills to understand data needs
- Passion for data and a commitment to data-driven decision-making
Join us as we transform our data landscape and unlock the power of data to drive business success. Submit your application today and embark on a rewarding career with ArvatoConnect
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