Loading job…
Lead Azure Data Engineer at Info Resume Edge · web2uaApply on the original site
Companies in this catalog do not charge applicants. Never send money to apply.
Key Responsibilities
- Participate in the modernization and migration of current Azure data and analytics systems to the Databricks Lakehouse Platform .
- Support Databricks platform enablement, configuration, and deployment activities.
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Functions, and Databricks.
- Build scalable data integration solutions across Azure Data Lake, Azure SQL Database, Azure Storage (Blob/File) , and Databricks.
- Assist in optimizing ingestion and transformation processes for performance, reliability, and cost efficiency.
Required Technical Skills
Strong hands-on experience with:
- Azure Data Factory (ADF)
- SQL / T-SQL
Azure Functions
- Azure SQL Database
- Azure Data Lake (ADLS Gen2)
- Azure Storage (Blob / File)
- Databricks (Notebooks, Delta Lake, Spark)
Qualifications
- Bachelors degree in Computer Science, Data Engineering, Information Technology, or related field.
- Proven experience working with cloud-based data engineering solutions, preferably in Azure ecosystems.
- Experience supporting cloud migration or modernization initiatives is a plus.
- Strong understanding of ETL/ELT concepts, data modeling, and distributed data processing.
Soft Skills
- Strong analytical and problem-solving mindset.
- Excellent communication and documentation abilities.
- Ability to collaborate with cross-functional teams across technical and business domains.
- Detail-oriented with a focus on quality and compliance.
- Originally posted on Himalayas
