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Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Job summary
he Data Platform Engineer role described here falls under the Data Engineering or Data Architecture function, with a focus on data platform design, integration, and the application of machine learning algorithms. Below is a detailed overview:
Assist with Data Platform Blueprint and Design:
Collaborate with Cross-functional Teams:
Develop and Maintain Data Platform Components:
Drive the Success of the Project:
Job ID: 106966789
Skills:
Database Management, Git, Version Control Systems, Sql, Agentic AI, Python Programming Language, application development frameworks
Skills:
data engineering , snowflake , Github, Pyspark, Sql, ELT, Terraform, Gitlab, Databricks, Bamboo, Data Governance, Python, Etl, AWS, DataOps, GenAI assistants
Skills:
Azure Data Factory, Etl Development, Data Modeling, Databricks, Azure Sql, Azure AI Services, Analytics and AI integration, ML migration, Data quality performance tuning, Microsoft Fabric
Skills:
snowflake , Terraform, Python, Sql, AWS, dbt, Fivetran
Skills:
snowflake , Git, Azure Data Factory, Power Bi, AWS Glue, Tableau, Sql, Python, Etl, dbt, Prompt Engineering
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