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Job Description
- As a Developer (24 years) specializing in Azure Data Engineering, you will utilize your hands-on expertise in Databricks, ADF, ADLS Gen2, Python, SQL, and ETL to contribute to the development and maintenance of scalable data pipelines. Your role will involve working on next-gen lakehouse architectures to support analytics and AI-driven insights.
Your responsibilities will include building and maintaining ETL jobs and workflows in Azure, developing PySpark/SQL scripts for data cleaning and transformation, managing lake zones (Raw, Curated, Consumer), performing unit testing, debugging, monitoring, documenting solutions, and supporting deployment activities.
To excel in this role, you should have experience with ADF orchestration and Databricks (PySpark, SQL), a strong understanding of data lake concepts, solid foundations in SQL, exposure to job scheduling and monitoring, and a passion for data engineering and continuous learning.
This position is available in Pune and Noida, offering you the opportunity to work on cutting-edge technology and contribute to impactful projects in the field of data engineering.,
Skills
PythonDebuggingTestingDeveloperSqlETLADFAzure Data EngineeringSQLDatabricksPythonADLS Gen2If a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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