Data Engineer (Cloud)

Largeton Group; United States; Remote; Part time

Job summary

A prominent tech company is seeking an entry-level candidate in Information Technology with Spanish proficiency to source candidates in Latin America. Responsibilities include developing and maintaining data pipelines using AWS tools and SQL. Ideal for those looking to grow in a dynamic tech environment you will collaborate with Data Science teams to implement solutions.

Qualifications

• Entry-level position requiring Spanish language skills.
• Proficiency in data pipelines and ETL processes.
• Ability to work in CST time zone and adapt to new technologies.

Responsibilities

• Source, screen, and payroll candidates in Latin America.
• Develop and maintain data pipelines and ETL processes.
• Collaborate with Data Science teams on data solutions.

Skills

Spanish language proficiency

Analytical skills

Problem-solving skills

Communication skills

AWS (Lambda, S3, Glue, Kinesis, Athena)

SQL proficiency

Python programming

Tools

GitHub

Snowflake

Redshift

DB2

Job description

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.

Qualifications

• Seniority level: Entry level
• Employment type: Contract
• Job function: Information Technology
• Industries: Information Services