Azure Data Engineer
2 days ago
Job SummaryWe are seeking a skilled Azure Data Engineer with 4 years of overall experience, including at least 2 years of hands-on experience with Azure Databricks (Must). The ideal candidate will have strong expertise in building and maintaining scalable data pipelines and working across cloud-based data platforms.
Key Responsibilities
Design, develop, and optimize large-scale data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse.
- Implement data lake solutions and work with structured and unstructured datasets in Azure Data Lake Storage (ADLS).
- Collaborate with data scientists, analysts, and engineering teams to design and deliver end-to-end data solutions.
- Develop ETL/ELT processes and integrate data from multiple sources.
- Monitor, debug, and optimize workflows for performance and cost-efficiency.
- Ensure data governance, quality, and security best practices are maintained.
Must-Have Skills
- 4+ years of total experience in data engineering.
- 2+ years of experience with Azure Databricks (PySpark, Notebooks, Delta Lake).
- Strong experience with Azure Data Factory, Azure SQL, and ADLS.
- Proficient in writing SQL queries and Python/Scala scripting.
- Understanding of CI/CD pipelines and version control systems (e.g., Git).
- Solid grasp of data modeling and warehousing concepts.
Skills: azure synapse,data modeling,data engineering,azure,azure databricks,azure data lake storage (adls),ci/cd,etl,elt,data warehousing,sql,scala,git,azure data factory,python
Mandatory Key SkillsAzure Databricks,Azure Data Factory,Azure SQL,ADLS,ETL,ELT,SQL,Data Engineering*
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