Data Engineer Job in Intuitive Apps Inc

Knowledge on Data Modelling, Data warehouse, and Data Analysis is also required.

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

Data Engineering

· 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.