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704 - Sr. Data Engineer

Remote:

Full Remote

Salary:

16 - 28K yearly

Experience:

Mid-level (2-5 years)

Work from:

Latin America

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field., 4+ years as a Data Engineer., Experience with AWS and Google Cloud., Proficient in programming languages such as Python..

Key responsabilities:

Enhance and maintain data infrastructure.
Monitor, optimize, and troubleshoot data pipelines.

GoFasti Scaleup https://gofasti.com/

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Job description

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Sr. Data Engineer, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

Enhance and maintain the infrastructure powering our analytics and data products.
Ingest new data from files, APIs, and external databases into a centralized data store, ensuring seamless integration and data flow.
Continuously monitor, optimize, and troubleshoot data pipelines and infrastructure for performance, scalability, and cost-effectiveness.
Work closely with business stakeholders, including Analysts and Data Scientists, to understand data needs and translate business requirements into technical solutions.
Implement and enforce data governance policies, ensuring adherence to best practices in data security, integrity, privacy, and regulatory compliance.
Contribute to and drive efforts to ensure high data quality across the organization by identifying and resolving issues in data pipelines and workflows.
Participate in technical architecture discussions, offering expertise in designing scalable, efficient data systems. Engage in peer code reviews to maintain high standards of code quality and best practices.

Requirements:

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.
4+ years working as a Data Engineer or in a similar technical role with a focus on building and maintaining data infrastructure and pipelines.
Experience with AWS (Redshift, RDS) and Google Cloud (BigQuery, Firebase) for managing and working with cloud-based databases and analytics tools.
Proficiency in at least one programming language (Python, Java, Scala, etc.) to automate data pipeline workflows.
Hands-on experience with real-time data streaming solutions (AWS Kinesis) to handle large-scale, real-time data ingestion.
Familiarity with data pipeline orchestration tools such as dbt and Airflow.
Strong knowledge of data warehousing concepts and ETL (Extract, Transform, Load) best practices.

Compensation:

The Salary range offered for this position varies from (USD) $1,300 - $2,300 per month, depending on seniority and skillset.
This position includes a 3-month trial period, with the possibility of extension to a long-term.
This position is for an independent contractor, through a payroll platform.
The talent will work REMOTELY allocated at our client.

Here are the steps for this process:

Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Thank you!