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Job Description
We are seeking a Data Engineer with strong expertise in Snowflake, Azure Databricks, and PySpark to build and optimize scalable data pipelines. The role involves developing ETL/ELT workflows, designing data models, and ensuring high-quality data delivery for analytics and business intelligence.
Responsibilities:
- Develop and maintain data pipelines using Databricks, PySpark, and Snowflake.
- Design and optimize Snowflake schemas, SQL queries, and warehouse performance.
- Ingest, transform, and process data from various sources into Azure data platforms.
- Work with Azure services (ADLS, ADF, Key Vault) and maintain CI/CD workflows.
- Ensure data quality, performance, and reliability in pipelines.
Requirements:
- 7+ years of data engineering experience.
- Hands-on expertise in Snowflake, Databricks, PySpark, and advanced SQL.
- Strong understanding of data modeling, ETL best practices, and Azure cloud services.
- Experience with Git, orchestration tools, and agile development.
Skills
Azure Data FactoryPysparkSnowflakeData EngineerAzure DatabricksData EngineeringDataMicrosoft AzureIf 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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