Offer summary

Qualifications:

Minimum 5 years of experience as a Data Engineer., At least 3 years of experience working with Snowflake., Proficiency in Python and SQL, with experience in ELT architecture using DBT., Strong knowledge of data modeling, Snowpipe Streaming, and warehouse optimization..

Key responsibilities:

Build and maintain data pipelines and cloud ecosystem using GCP and Snowflake.

Migrate data from on-premise Oracle systems to cloud-based solutions.

Work with streaming and messaging platforms to enable real-time data integration.

Collaborate with multicultural teams in a remote work environment.

Job description

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

- You will be part of a multicultural and fully international team;

- You will take part in building a cloud ecosystem (GCP) from scratch to create a Data Lake with Snowflake, followed by the migration of data from on-premise Oracle systems;

- You will build robust data pipelines (Jenkins;

- You will work with Streaming and messaging platforms to integrate real-time data into the architecture;

- Remote Work Model.

What You Are:

- Fluent in English, with proven experience working in international and multicultural environments;

- 5+ years of experience as a Data Engineer, with at least 3 years working with Snowflake;

- Strong proficiency in architecture design and building scalable data pipelines;

- Advanced skills in Python and SQL, with hands-on experience designing ELT architectures using DBT;

- In-depth knowledge of data modeling, Snowpipe Streaming, and Snowflake warehouse optimization;

Experience with orchestration tools such as Apache Airflow and streaming platforms like Kafka.

What youll get:

- Wage according to candidate's professional experience;