Posted:6 days ago|
Platform:
Hybrid
Full Time
Job Summary We 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
Apex One
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