Develop and maintain efficient data pipeline architecture.
Construct intricate data sets that align with functional and non-functional business requirements.
Identify, plan, and implement internal process enhancements, such as automation of manual processes, data delivery optimization, and infrastructure redesign for improved scalability.
Establish the necessary infrastructure for efficient data extraction, transformation, and loading from diverse data sources using SQL and AWS 'big data' technologies.
Design analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other crucial business performance metrics.
Collaborate with stakeholders including Executives, Product Managers, Data and Design teams to address data-related technical challenges and fulfill data infrastructure needs.
Maintain data security and separation across national boundaries, encompassing multiple data centers and AWS regions.
Develop data tools for the analytics and data science teams, assisting them in optimizing our product's position as an innovative industry leader.
Collaborate with data and analytics experts to enhance functionality within our data systems.
Communicate with clients to elucidate task requirements.
Conceptualize and create infrastructure to facilitate access and analysis of big data.
Refine existing frameworks to enhance their functionality.
Test and validate structures to ensure their suitability.
Prepare raw data for manipulation by data scientists.
Detect and rectify errors in work.
Ensure that work remains backed up and accessible.
Stay current with industry standards and technological advancements that enhance the quality of outputs.
