Senior Data Engineer | AWS

At Popular, we offer a wide variety of services and financial solutions to serve our communities in Puerto Rico, United States & Virgin Islands. As employees, we are dedicated to making our customers dreams come true by offering financial solutions in each stage of their life. Our extensive trajectory demonstrates the resiliency and determination of our employees to innovate, reach for the right solutions and strongly support the communities we serve; this is why we value their diverse skills, experiences and backgrounds.

Are you ready for a rewarding career?

Over 8,000 people in Puerto Rico, United States and Virgin Islands work at Popular.

Come and join our community!

The Opportunity

As an AWS Data Specialist, you'll hold a significant position within the Data Engineering & Analytical Enablement pillar, dedicating your advanced expertise to the detailed design, development, and implementation of analytical solutions on AWS. Your primary focus will be on data preprocessing, and ensuring smooth data movement, which are essential for guiding informed decision-making and deriving actionable insights. Your senior position will also involve providing mentorship and leading initiatives to drive the analytical engineering agenda forward.

Your key responsibilities:

You will collaborate with multifaceted teams of specialists spread across various locations to offer a broad spectrum of data and analytics solutions. You will address complicated challenges and propel advancement within the Enterprise Data & Analytics function.

Specifically:

• Craft and maintain a clear vision, strategy, and objectives for AWS services in the Data & Analytics domain, ensuring their effective application across various projects.
• Deploy AWS services to build robust data management pipelines, data stores, and feature stores, both online and offline, to augment analytical capabilities.
• Develop and implement data integration strategies, architectures, and processes to ensure the effective integration of data from multiple sources into the data lake and data warehouse.
• Collaborate with teams across data architecture, data governance, data security, and business units, in addition to data analysts and other stakeholders to define data integration requirements and understand source data systems.
• Guide the development of AWS-based data solutions, ensuring they align with business needs and are scalable, reliable, and secure.
• Monitor and optimize costs related to ELT / ETL services and cloud management.
• Work in tandem with cybersecurity architects to review AWS data lakes, guaranteeing that data architectures adhere to security standards and organizational policies.
• Lead and mentor a dynamic team in designing, testing, and strategically deploying cutting-edge solutions for analytical and machine learning infrastructure in the cloud.
• Set up cloud infrastructure components, including networking, security, storage, data migration, data processing, governance, analytics, log management, and monitoring services.
• Participate in the creation and enforcement of data privacy policies and programs, ensuring that cybersecurity strategies are properly implemented across cloud Data and analytics platforms and initiatives.
• Coordinate with corporate DevOps team in designing and building DataOps and ModelOps pipelines to automate and streamline the data pipelines and machine learning model development, Inventory management and deployment processes.
• Keep abreast of the latest AWS technologies and data trends to perpetually enhance the organization's data and analytics capabilities. Mainly specialized in AWS Glue, EMR, Batch, Lambda, Athena, Kinesis,S3,Lake Formation, DynamoDB, EC2, QuickSight, Elastic Search, RDS, DMS, MEAA, Appflow, EKS, ECS, MSK, Event Bridge, Step Function.
• Promote and establish software engineering best practices within the analytics team to ensure the delivery of high-quality, dependable analytical solutions.