Largeton Group · 4 months ago
Data Engineer (Cloud)
Largeton Group is seeking a Data Engineer to collaborate with Data Science teams in designing and implementing data warehouse architecture and solutions. The role involves developing and maintaining data pipelines, ETL processes, and utilizing various AWS tools and databases to support data management and analysis.
ConsultingInformation TechnologyTraining
Responsibilities
Source, screen, and payroll candidates in Mexico or Latin America; Spanish language required
Work in Central Standard Time (CST) zone; roles open to candidates across Latin American countries
Collaborate with Data Science teams to design, develop, and implement data warehouse architecture and solutions
Develop, test, and maintain data pipelines, ETL processes, and feature engineering pipelines using AWS (Lambda, S3, Glue, Kinesis, Athena, etc.), Python, SQL, and Unix scripting
Work with databases such as Snowflake (preferred), Redshift, and DB2; demonstrate strong proficiency in SQL and dimensional modeling
Implement and support feature stores (e.g., SageMaker, Tekton, Tecton) and work with NoSQL databases
Utilize CI/CD tools (GitHub, GitHub Actions, CodePipeline, CloudFormation) for automated deployment and code management
Troubleshoot and resolve complex ETL and SQL issues in Data Lake, Data Warehouse, and Data Mart environments
Analyze requirements, conduct research, and propose technical solutions to address business needs
Demonstrate strong analytical, problem-solving, and communication skills; work independently and collaboratively within teams
Maintain flexibility and adaptability for learning new technologies and methodologies
Nice-to-have: Experience with Airflow, Informatica PowerCenter/IICS, and industry-standard ETL/ELT tools
Ensure deliverables are completed in a timely and accurate fashion; provide status reports as required
Uphold company values, demonstrate integrity, maturity, and a constructive approach to challenges
Qualification
Required
Source, screen, and payroll candidates in Mexico or Latin America; Spanish language required
Work in Central Standard Time (CST) zone; roles open to candidates across Latin American countries
Collaborate with Data Science teams to design, develop, and implement data warehouse architecture and solutions
Develop, test, and maintain data pipelines, ETL processes, and feature engineering pipelines using AWS (Lambda, S3, Glue, Kinesis, Athena, etc.), Python, SQL, and Unix scripting
Work with databases such as Snowflake (preferred), Redshift, and DB2; demonstrate strong proficiency in SQL and dimensional modeling
Implement and support feature stores (e.g., SageMaker, Tekton, Tecton) and work with NoSQL databases
Utilize CI/CD tools (GitHub, GitHub Actions, CodePipeline, CloudFormation) for automated deployment and code management
Troubleshoot and resolve complex ETL and SQL issues in Data Lake, Data Warehouse, and Data Mart environments
Analyze requirements, conduct research, and propose technical solutions to address business needs
Demonstrate strong analytical, problem-solving, and communication skills; work independently and collaboratively within teams
Maintain flexibility and adaptability for learning new technologies and methodologies
Ensure deliverables are completed in a timely and accurate fashion; provide status reports as required
Uphold company values, demonstrate integrity, maturity, and a constructive approach to challenges
Preferred
Experience with Airflow, Informatica PowerCenter/IICS, and industry-standard ETL/ELT tools
Company
Largeton Group
At Largeton Group, we're passionate about empowering businesses to reach new heights through innovative staffing solutions and cutting-edge technology.
H1B Sponsorship
Largeton Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (10)
2023 (8)
2022 (6)
2021 (7)
2020 (11)
Funding
Current Stage
Growth StageCompany data provided by crunchbase