The Azure Data Engineer will design, develop, and implement scalable and reliable data solutions on the Azure platform.
This role involves collaborating with cross-functional teams to gather and analyze data requirements.
The engineer will design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.
Responsibilities include performing data integration and transformation activities to ensure data quality and consistency.
The position requires implementing data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
The engineer will monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.
Implementing data quality measures and data governance practices to ensure data accuracy, consistency, and privacy is essential.
The role also involves collaborating with data scientists and analysts to support their data needs and enable data-driven insights.
Requirements:
A Bachelor’s degree in computer science, Engineering, or a related field is required.
Candidates must have 4+ years of experience with Big Data technologies, particularly on Azure.
Strong knowledge and experience with the Azure cloud platform, Azure Data Factory, SQL, Databricks, and programming languages such as Python or Scala are mandatory.
Experience in SQL and familiarity with SQL-based database systems is essential.
Hands-on experience with Azure data services, including Azure SQL Database, Azure Data Lake, and Azure Blob Storage, is required.
Candidates should have experience with data integration and ETL (Extract, Transform, Load) processes.
Strong analytical and problem-solving skills are necessary for this position.
A good understanding of data engineering principles and best practices is expected.
Relevant certifications in Azure data services or data engineering are considered a plus.
The notice period for candidates is immediate joiners or those who can join by July 4th, 2025.
Benefits:
The position offers the flexibility of remote work.
Candidates will have the opportunity to work with cutting-edge technologies in the Azure ecosystem.
The role provides a chance to collaborate with cross-functional teams and contribute to impactful data solutions.
There is potential for professional growth and development in the field of data engineering.
The company values data quality and governance, allowing engineers to implement best practices in their work.
