Description

Tech Stack: Proficiency in Python, SQL, Databricks, Snowflake Data Modeling, ETL process, Apache Spark and PySpark, data integration and workflow orchestration, real time data processing experience/frameworks, Cloud experience (Azure preferred) 

  

Job Description 

Minimum 5 years of experience in Data Engineering role that involves Analyzing, organizing raw data, and building data systems & pipelines in Cloud Platform [Azure] 

Experienced in migrating data from on-prem to cloud-based solution architectures [Azure] 

Extensive experience with Python, Spark and SQL 

Experience in developing ETL processes. Proficient with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics or equivalent tools and technologies 

Experience building data lakes & data warehouses to support operational intelligence and business intelligence. 

Excellent written and verbal communication skills 

Key Skills
Education

Any Graduate

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