Data Engineer-Snowflake

Descripción

 

!WE TRANSFORM THE FUTURE OF PEOPLE!

Qibit Mèxico is the global network of talent experts in digital and technological profiles. We are part of the largest ecosystem and global leader of integrated human capital solutions, Gi Group Holding. We create value by connecting leading companies with the best talents in the market around the world🌏. Our purpose is to build bridges, change careers and transform people’s future.😍
We support diversity and multicultural environments as it allows us to develop great projects. Additionally, we value respect, ownership, sustainability and innovation. We are looking for the next game changer to join the team as Data Engineer-Snow Flake🚀. Are you a digital nomad? Well this role was made for you, you can be located anywhere in México.🌎and enjoy 100% of the flexibility that this implies.

We are 100% digital, we believe in your value and we promote your development at all levels.😎

Join our community of talents!

#WeBuildYouCross

 

Requisitos mínimos

 

🤖 Responsabilities:

We are looking for a skilled Data Engineer / Snowflake developer to join our Tech team. The ideal candidate will possess experience in SQL, Snowflake and Matillion. The incumbent for the position is expected to deliver but not limited to the following responsibilities:

▪ Identify and suggest improvements/enhancements to optimize nightly ETL processing.

▪ The data engineer will be working in the direction of the Data Engineering Manager.

▪ The person should be a self-starter, actively seek clarification if needed, and work independently.

▪ The person will work closely with offshore/onsite teams as needed to coordinate, execute projects and report status back to Client as required

▪ Development projects, working on the building/ managing / enhancements of data pipelines & ETL processes, in addition to assisting building dashboards in Power BI , will include activities such as:

Requirements gathering from business stakeholders

Understanding of existing data sources

Identifying new data sources

Providing requirements to engineering teams for ingestion of new data sources, updates to existing data sets, etc.

Testing

UAT to ensure dashboards meet the requirements of business users.

Minimum requirements

🤸‍♀️Hard Skills

Experience in the Area

▪ Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field.

▪ +5 years of experience as Data Engineer

▪ +4 years of hand-on experience in Snowflake is a must

▪ Experience in SQL

▪ Experience working with Matillion is a must

▪ Exposure to ETL. Understanding of ETL/SFTP Processing, Query/Procedure writing.

▪ Good communication

▪ Stakeholder management

▪ Able to understand technical discussion & be an individual contributor

▪ Business understanding

▪ Experience with DBT tools is a plus

▪ Exposure to Azure is a plus

▪ Advanced English

Soft Skills

Strong communication skills, with the ability to align the organization around complex technical decisions

Active coach and mentor whose goal is to develop and maximize the team’s potential

Proactivity and passion for the client.

Assertiveness.

🎁Our Benefits for You

Competitive salary, you work in a digital environment!💰

Type of contract: 100% Payroll in MXN with Law benefits or as a Contractor with pay in USD.

Fun, inclusive and transparent work culture. This is very important for us as bridgers!

Advantages? Tons, it’s a great interview question💥

Guaranteed high impact projects🚀

Multicultural and intercultural teams, with high potential like yours✅

🌈Our position

We support multicultural environments. For us, the most important thing is your values ​​and the knowledge and potential you have.

We support 100% all genders, ethnicities, religions, abilities and talents, diversity allows us to develop great projects.

We care about you, you will be part of our family!

NOTE:We are aware of your time, the process will go so quickly as long as you are committed!

We can’t wait to meet you!🥳




Aplicar
Fecha de inicio del empleo
2025-02-27
Aplicar