Strong communication, client-facing skills and 10-15 years of experience in Data Engineering space on Pyspark , ADF, Databricks, and SQL
Strong and good experience in understanding the client requirements.
Hands-on creating conceptual diagrams based on the requirements and develop the Models.
Hands on Medallion architecture using Azure Services.
Strong experience in using the Erwin model.
Experience in implementing performance logics while data transformation.
Need to explain to the data engineering team after requirement gathering on the development part using ADF, Data bricks, Python, J SON, and Ymal.
Understanding data from the source system to prepare source to target mapping designs/docs.
Good collaboration with team.
Strong understanding of dimensional modeling, normalization , Data Harmonization and schema design.
Excellent communication, problem-solving, and technical project management abilities.
Deploy code artifacts using GitHub Workflow/actions and CI CD pipelines.
Having skills in Log analytics and KQL queries will be a plus
configuration settings using JSON files
Job Type: Fixed term contract
Contract length: 6 months
Pay: 450.00-500.00 per day
Experience:
Data Engineering space on Pyspark : 8 years (required)
Azure Data Factory (ADF): 5 years (required)
SQL: 3 years (required)
Azure Services: 3 years (required)
Erwin model: 3 years (required)
CI CD pipelines: 3 years (required)
* Data Engineering : 9 years (required)
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