The Sr. Data Engineer must identify high-level functional and technical requirements based on interactions with the final user and knowledge of enterprise data warehouse architecture. Work in the development of ETL and Dashboards.**Necessary Duties and Responsibilities include the following**:- Create and maintain optimal data pipeline architecture.- 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 architecture required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Dataiku, Python and AWS 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 Company data separated and secure across national boundaries through multiple data centers and AWS regions.- 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.- Works across teams to ensure IT system deployments are implemented with mínimal impact to production operation.- Lead activities required to support project milestones and scheduled release dates.- Works with third party vendors to understand their technology roadmaps.- Defines requirements by analyzing business processes and designs & constructs solutions by analyzing of business processes and requirements.- Coordinate business impact analysis for all releases executed by IT.- The confidence to express ideas as part of a creative team.**Relationships and Roles**:- This position reports to Data Engineer Manager of Data and Analytics.- Coordinate and provide support to functions across the Company.**Job Specifications**:- Bachelor's degree in IT Engineering, Industrial Engineering or related- Minimum 4 years of experience as a Data Engineer working with SAP Business Intelligence or related work experience.- Deep experience in SAP ECC, S4/HANA, SAP BI Extractors, ETL process and Delta Management.- SAP ABAP experience coding on transformation and extractors.- Experience with AWS/Google cloud services: EC2, EMR, RDS, Redshift/Big Query, Google Cloud Platform.- Fully Bilingual English - Spanish.- Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.- Excellent understanding of Datawarehouse development frameworks and best practices.- Prior experience interviewing end-users for insight on functionality, interface, problems, and usability issues.- Experience with Agile methodologies.- Experience with AWS lambda is a plus.**Salary**: ¢1,800,000.00 - ¢2,200,000.00 per month
