A dynamic IT consulting firm is seeking an experienced Data Engineer to design and optimize data pipelines using Azure technologies. Ideal candidates will have at least 5 years of experience, strong Azure expertise, and a proficiency in Agile methodologies. The role involves close collaboration with client teams to implement effective data solutions, ensuring quality and scalability.
Qualifications
At least 5 years of experience as a data engineer with strong expertise in Azure.
Proficiency in Azure, ADLS, ADF, and Synapse Analytics.
Hands-on experience with Agile software development.
Responsibilities
Design and implement data pipelines using Azure technologies.
Optimize data pipelines for performance and scalability.
Work in a team following Agile practices.
Skills
Azure Data Factory
Data Engineering
Agile methodologies
ETL/ELT technologies
Education
Bachelor's degree in Computer Science or related field
Tools
Azure Databricks
Azure ADLS
Synapse Analytics
Job description
Design and implement data pipelines using Azure technologies such as Azure Data Factory, CDC, Azure Stream Analytics, and Azure Synapse
Optimize data pipelines for performance and scalability using Azure Databricks
Optimize data storage and data quality
Use of ETL/ELT technology (Extract, Transform, Load)
Work in the team following Agile practices
Work in close cooperation with client teams to find the best solutions
Support exploration and sales of new market trends to ensure growth with interesting projects that leverage the latest technologies
Requirements for the Role
Bachelors degree in Computer Science or related field
At least 5 years of experience as a data engineer with strong expertise in azure
Proficiency in Azure, ADLS, ADF and Synapse analytics
Hands-on experience with Agile software development