The main objective of this position is to develope, maintaine , and test infrastructures for data generation with Development team .

He / She will be largely in charge of architecting solutions for Data transforming data , into a format that can be easily analyzed by differents departments.

Key Responsibilities

• Create and maintain optimal data pipeline architecture based on SeaZen Core System Integrations
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Responsible on building and architecting the DWH on AZURE alongside with Developments team
• 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 SQL and AZURE ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers .
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Reformulating existing frameworks to optimize their functioning.
• Preparing raw data for manipulation by data scientists.
• Ensuring that your work remains backed up and readily accessible to relevant coworkers.
• Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

Skills

• Minimum 5 yrs. Experience in same field.
• Experienced in C#, JSON, C++, SQL Server, Expert proficiency in Python
• Strong foundational knowledge of Microsoft 365 including the Azure AD, and Azure ecosystem required
• Knowledgeable of 4v’s, Data Modeling , algorithmics and ETL

Education Qualification

• Minimum a bachelor’s degree in computer-related field or equivalent.

Personal Skill

• Analyze and convert new business requirements into technical specifications by collaborating with the stakeholders and IT Management, studying systems flow, data usage, and work processes.