Offer summary

Qualifications:

Strong experience with Python programming for data engineering tasks., Proficiency in SQL for database management and querying., Hands-on experience with AWS cloud services., Knowledge of data modeling principles and infrastructure automation with Terraform..

Key responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes.

Perform data manipulation, transformation, and cleansing to ensure data quality.

Develop and maintain database solutions using SQL and Snowflake.

Utilize AWS and Terraform for data storage, processing, and infrastructure management.

Founded in 2005, Perform has helped hundreds of companies including McGraw Hill, Shutterfly, TJ Maxx, and AON solve complex bottlenecks in their software delivery workflow. There are two ways to Perform: 1. Hire with Perform: It takes great teams to ship great products. The thing is, finding the right hire isn't always easy. That's why we made it easy to augment engineering, QA, and DevOps teams with highly qualified nearshore candidates. Companies can save up to 70% on staffing costs - all without sacrificing quality. 2. Build with Perform: As the saying goes, "We don't rise to our goals, we fall to the strength of our systems." This highlights the importance of addressing gaps & bottlenecks in the SDLC. When teams need help in modernizing their development, quality, or delivery strategy, they can work with our team of expert consultants to do exactly that. How to start with Perform: E-mail: info@totalperform.com For more information, visit: https://totalperform.com

Job description

We are seeking a skilled and motivated Data Engineer to join our Business Technology team. The team is responsible for driving business data analytics and ensuring robust data engineering practices. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure.

Required Skills:

Strong experience with Python programming for data engineering tasks.
Proficiency in data manipulation and transformation.
Advanced SQL skills for database management and querying.
Hands-on experience with AWS.
Experience with Terraform for infrastructure automation.
Very Proficient in Looker and Snowflake and Snowflake Admin.
Strong understanding of data modeling principles and best practices.
Upper Intermediate English level.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes to support business data analytics.
Perform data manipulation, transformation, and cleansing to ensure data quality and integrity.
Develop and maintain database solutions using SQL.
Implement data models and optimize data storage solutions in Snowflake.
Utilize AWS cloud services for data storage, processing, and analytics.
Use Terraform for infrastructure as code to manage and deploy cloud resources.
Create and maintain reports and dashboards using Looker.
Collaborate with the team to continuously improve data engineering practices and processes.

This position is open to Latin America only

Required profile