Job Description

Data Engineer.

Key Skills: Azure Data Factory, Pyspark, T/SQL, PL/SQL, Exposure on other ETL Tools like SSIS, Databricks

Job responsibilities:

• 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. dentify, 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.