About Goods & ServicesGoods & Services is a product design and engineering company.We solve mission-critical challenges for some of the world's largest enterprises, with deep expertise in highly regulated industries—includinglife sciencesandfinancial services.
Ourdesign-ledapproach allows us to apply cutting-edge capabilities inAI,DataandHardware Engineeringto companies of any size.Headquartered in theUnited States , we operate regional development centers inMexicoand theUnited Kingdom.
This integral footprint—anchored by ournearshoremodel—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.About the jobGoods & Services is looking for aSenior Data Platform Specialist / Cloud Data Engineerto design, build, and maintain scalable data pipelines and AWS data platform services.
This role is focused on our AWS data stack, including AWS Glue, Redshift, Apache Airflow, and Apache Iceberg on S3, rather than general-purpose Dev Ops or cloud infrastructure ownership.This is a hands-on role where you will work closely with analytics engineers, data scientists, and application developers to deliver reliable, cost-efficient data solutions, business-facing data models, and strong Fin Ops discipline.What you'll do:Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS cloud environments.Manage and optimize data platforms using services such as AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation,



and IAM.Implement and orchestrate workflows with Apache Airflow for large-scale data processing and analytics.Build and optimize data warehouse solutions and business-facing analytical models using dbt, Spark, and SQL.Collaborate with cross-functional teams to deliver secure, scalable, and highly available data solutions.Support CI/CD pipelines and deployment automation for data platform workflows, especially with Code Build, Jenkins, and Git Hub Actions.Architect and maintain lakehouse storage layers on S3 using Apache Iceberg and/or Delta Lake table formats.Manage AWS Glue Data Catalog, crawlers, and Lake Formation permissions for data governance and access control.What you'll need:5+ years of experience in data engineering, data platform, or cloud data engineering roles with a strong focus on AWS data services.Hands-on expertise with AWS Glue (Py Spark), Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.Production experience with Apache Airflow, including DAG development, scheduling, and multi-environment management.Experience building data warehouse solutions and business-facing analytics models using dbt, Spark, and SQL.Strong Python skills for building ETL/ELT pipelines and automation tooling.Familiarity with lakehouse architectures using Apache Iceberg or Delta Lake on S3.Nice to have:Familiarity with CI/CD tooling such as Jenkins, Git Hub Actions, and Code Build.Basic familiarity with data-adjacent AWS infrastructure services such as Lambda, Event Bridge, and SQS.Experience building REST APIs with Fast API or Flask, particularly for internal Redshift or data platform services.AWS Certifications (Solutions Architect, Developer, or equivalent).

📌 Senior Data Engineer & Cloud (Aws) (Hermosillo)
🏢 Bsc Goods
📍 Hermosillo