AWS Data Engineer Senior - Híbrido

Category: -MFG & Supply Chain SBU

As Senior Data Engineer is available as a Hybrid role for candidates in the Mexico City, Guadalajara, or Monterrey, México areas. The Data Engineer will be responsible for designing and developing robust and scalable data warehousing solutions, based on the business requirements. Data solutions may involve retrieval, transformation, storage, and delivery of the data while following standards and best practices, writing code and providing production support for the enterprise data warehouse. Our ideal candidate is a skillful data wrangler who enjoys building data solutions from the ground up and optimizing their performance.

Data Architecture & Infrastructure Development - Designs and implements robust, scalable, and high-performance data solutions using Snowflake, dbt, and Python

Data Architecture & Infrastructure Development - Builds and maintains the organization's data infrastructure

Data Architecture & Infrastructure Development - Champions the data warehouse by creating denormalized data foundation layers and normalized data marts

Data Architecture & Infrastructure Development - Works on all aspects of the data warehouse/BI environment including architecture, design, development, automation, caching, and performance tuning

Data Architecture & Infrastructure Development - Builds infrastructure for optimal extraction, transformation, and loading (ETL) of data from various sources using SQL and cloud data platforms like Snowflake

Data Architecture & Infrastructure Development - Defines strategies to capture all data sources and assess the impact of business process changes on data inputs

Data Platform Management & Optimization - Leads the migration of existing data platforms to Snowflake, ensuring minimal disruption to business operations

Data Platform Management & Optimization - Manages the full lifecycle of data within Snowflake, from ingestion and storage to analytics and reporting

Data Platform Management & Optimization - Conducts performance tuning and troubleshooting of the Snowflake environment to ensure optimal efficiency

Data Platform Management & Optimization - Identifies, designs, and implements internal process improvements, such as re-architecting for scalability, optimizing data delivery, and automating manual processes

Cross-functional Collaboration & Stakeholder Support - Collaborate with systems analysts and cross-functional partners to understand data requirements

Cross-functional Collaboration & Stakeholder Support - Works with stakeholders including Executive, Product, Data, and Design teams to support data infrastructure needs and resolve data-related technical issues

Innovation & Continuous Improvement - Explores emerging technologies continually such as Big Data, Artificial Intelligence, Generative AI, Machine Learning, and Predictive Data Modeling to enhance data capabilities

8+ years of professional experience in the data engineering field

• Hands-on polyglot programming expertise - hands-on, current Python experience is a must-have
• Marketing channel data automation, pipeline monitoring and data delivery is strongly preferred
• Extensive experience in designing, developing Snowflake Cloud Data Platform
• Proficiency in Multi cloud platform like Azure, AWS and/or GCP
• Proficiency in designing and implementing data pipelines using diverse data sources including databases, APIs, external data providers, and streaming sources
• Demonstrated history of designing efficient data models using Medallion Architecture
• Deep understanding and experience with relational (SQL Server, Oracle, Postgres and MySQL) and NoSQL databases
• Experience building and supporting REST APIs for both inbound and outbound data workflows
• Proficiency and solid grasp of distributed system concepts to design scalable and fault tolerant data architectures
• Excellent critical thinking to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
• Ability to build and optimize data sets, "big data" data pipelines and architectures
• Ability to understand and tell the story embedded in the data at the core of our business
• Strong knowledge of coding standards, best practices and data governance
• As an employee with Belcan, you will be part of one of the largest engineering firms in the world. We maintain a small-company atmosphere as well as open communication at all levels of our organization, allowing for much more dynamic decision-making processes. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, or membership in any other group protected by federal, state, or local laws.

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