Data Integration Engineer

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Responsabilities

• Set up data ingestion pipelines from diverse data origins utilizing Azure Data Factory, Azure Databricks, and other ETL tools.
• Develop frameworks that are scalable, reusable, and user-friendly for data ingestion and processing.
• Architect, construct and administer SQL Server databases within the Azure cloud environment.
• Perform data modeling tasks and integrate data from various systems.
• Evaluate and implement best practices for effective data manipulation.
• Construct and maintain Azure Data Factory pipelines.
• Integrate end-to-end data pipelines to seamlessly transfer data from its source to designated repositories, ensuring quality and consistency throughout.
• Engage with customers to provide technical insights and assist with data interpretation.
• Operate both independently and collaboratively in a team-oriented, cross-functional, and culturally diverse setting.

Requirements

• Possessing over 3 years of hands-on experience in Azure development.
• Proficient comprehension and practical application of GIT.
• Sound familiarity with Microsoft ETL tools including Azure Databricks, Azure Data Factory, Data Lake, and SSIS.
• Extensive experience handling both structured and unstructured data.
• Proficiency in utilizing ARM templates.
• Familiarity with working with JSON.
• Solid understanding of Azure DevOps or Jira.
• Exceptional command of English language, both spoken and written.
• Capable of collaborating effectively within a team dynamic, while also demonstrating autonomy and strong ownership over assigned responsibilities.