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Senior Data Engineer (Cloud) (Remote - Latam)

Senior Data Engineer (Cloud) (Remote - Latam)

JobgetherChile
Hace 5 días
Descripción del trabajo

Overview

We are seeking a skilled Senior Data Engineer to design, build, and maintain scalable data infrastructure in a fully remote environment. In this role, you will work closely with product teams to translate requirements into robust, cloud-native solutions, leveraging Snowflake, AWS services, and modern data pipelines. You will ensure high-quality, reliable data processing and feature engineering while optimizing workflows and troubleshooting complex issues.

This is an excellent opportunity to work on impactful data projects, continuously expand your technical expertise, and contribute to a collaborative and innovative team. If you are passionate about data, automation, and delivering scalable solutions, this role offers a chance to make a tangible impact.

Accountabilities

  • Collaborate with product teams to gather requirements and propose effective solutions
  • Design, build, and maintain scalable data pipelines and feature engineering pipelines
  • Analyze and resolve software and data infrastructure issues efficiently
  • Implement robust solutions using Python, SQL, and relevant programming languages
  • Ensure thorough testing and validation of data workflows and applications
  • Contribute creative, out-of-the-box solutions to complex challenges
  • Prioritize and execute tasks independently or as part of a collaborative team in a fast-paced environment
  • Uphold best practices in cloud architecture, CI / CD processes, and data security

Requirements

  • Strong verbal and written communication skills
  • Hands-on experience designing and developing enterprise applications
  • Proficiency with cloud-native data platforms, especially Snowflake and AWS services (Lambda, Glue, Kinesis, Firehose, Athena, S3, CloudWatch, DynamoDB, API Gateway)
  • Expertise in databases (Snowflake, DB2, Redshift) and dimensional modeling
  • Proficient in Python, SQL, and scripting (Unix shell scripts)
  • Experience with feature stores such as Tecton or SageMaker
  • Familiarity with NoSQL databases and building feature engineering pipelines
  • Experience with CI / CD tools such as GitHub, GitHub Actions, CodePipeline, and CloudFormation
  • Knowledge of user authentication and authorization across systems
  • Ability to take ownership of projects and deliver on timelines proactively
  • Bonus : experience with ETL tools like Informatica PowerCenter or IICS, and Airflow
  • Benefits

  • Fully remote role across Latin America
  • Opportunity to work on cutting-edge cloud data and feature engineering projects
  • Professional growth through exposure to modern data platforms and best practices
  • Collaborative and innovative work environment with a focus on technical excellence
  • Flexibility and autonomy to manage your workflow while meeting project goals
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly : Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job\'s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Information Technology
  • Industries

  • Non-profit Organizations and Primary and Secondary Education
  • #J-18808-Ljbffr

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