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Data Engineer
5 months ago
Key Skills:
Azure Data Factory, Pyspark, T/SQL, PL/SQL, Exposure on other ETL Tools like SSIS, Databricks Data Engineering
Job Description :
- Create and maintain optimal data pipeline architecture
- Design and develop Data Warehouse solutions
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud-based technologies.
- Migrate on-prem processes from backoffice systems to the Cloud (Azure or Salesforce).
- Configure analytics tools that utilize the data pipeline to provide actionable insights into quality, operational efficiency and other key metrics.
- Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assist with data-related technical issues and support their data needs.
- Keep data separated and secure
- Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products.
- Work with data and analytics experts to strive for greater functionality in our data systems
