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Data Engineer

Business Intelligence Jobs and Data Recruitment
Location
Bogata, Colombia
Type
Contract

Job Title: Data Engineer (Remote - South & Central America, Contract)

 

Location:

 Remote (Open to candidates in South & Central America), Must be able to work Pacific Time Zone Hours

Job Type:

 Contract - 1 Year

Compensation:

 $3,000 USD per month

Language

: Written and spoken English in a professional environment 

required

 

About the Role:

Our e-commerce fashion client is seeking a 
Data Engineer
 to join their team on a 
fully remote, long-term contract
. In this role, you will support the development and optimization of 
ETL pipelines, data processing workflows, and cloud-based data infrastructure
. You will work with 
Snowflake
 and implement 
RBAC (Role-Based Access Control)
 while collaborating with senior engineers to enhance data reliability and security.
 
This is a great opportunity for an aspiring data engineer to gain hands-on experience with modern cloud data technologies in a fast-paced environment.

 

Key Responsibilities:

• Develop and maintain 

ETL pipelines

 to process structured and semi-structured data efficiently.

• Work with 

Snowflake

 to manage data ingestion, transformation, and storage.

• Implement 

RBAC policies

 to ensure proper data security and access control.

• Assist in 

migrating and optimizing data pipelines

 across 

AWS, GCP, and Azure

 platforms.

• Support 

Snowflake staging, Snowpipes, and data sharing processes

 for cost-efficient data storage and retrieval.

• Collaborate with cross-functional teams to ensure 

data integrity, security, and performance optimization

.

• Troubleshoot 

data ingestion, performance bottlenecks, and integration issues

 in a cloud environment.
 

Required Skills & Experience:

1+ years

 of experience in 

data engineering, ETL development, or cloud-based data processing

.

• Hands-on experience with 

Snowflake

 for 

data warehousing, Snowpipes, RBAC, and SQL transformations

.

• Ability to use English professionally (written and spoken)
• Strong SQL skills, including experience with 

T-SQL, SnowSQL, and query optimization

.

• Exposure to 

cloud platforms

 such as 

AWS, GCP, or Azure

 in a data engineering context.

• Basic knowledge of 

data encryption, masking, and security best practices

.

• Some experience with 

data ingestion from APIs and third-party sources

 (e.g., social media or marketing platforms).

• Strong problem-solving skills and the ability to work independently in a 

remote-first, collaborative team environment

.
 

Nice to Have:

• Familiarity with 

Apache Airflow

 for workflow orchestration.

• Basic experience with 

Python, PySpark, or DBT

 for data transformation and pipeline automation.

• Exposure to 

Fivetran connectors

 for data ingestion from various sources.

• Understanding of 

CI/CD pipelines, Docker, and Kubernetes

 for deployment automation.

• Experience with 

BI tools like Tableau or SSRS

 for reporting and data visualization.
 

• share

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