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Senior Data Engineer
2 months ago
Responsibilities :
1. Assume ownership of Data Engineering projects from inception to completion.
2. Implement fully operational data lakehouse solutions in production environments using Databricks.
3. Showcase proficiency in Pyspark based data modelling and transformation
4. Extract and model data from sources like XML, CSV, txt and other file formats and store in delta lake.
5. Maintain code versioning and collaborate effectively within a version-controlled environment.
Requirements :
1. 2+ Years experience as a databricks data engineer
2. Hands on experience in building-managing data platforms (ETL-Lake-Warehousing) in cloud platforms such as AWS, Azure.
3. Experience in Delata Lake and languages like Pyspark, Scala, Java, etc.
4. Demonstrable experience of data modelling and schema design.
5. Experience in performing ETL for complex use-cases.
Technology skills required :
1. Databricks Delta Lakehouse
2. MS Azure basics
3. ETL - Azure Data Factory, Databricks
4. MS Office tools for productivity
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