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:

- Design and implement end-to-end cloud-native data architectures and pipelines;

- Build and maintain scalable, high-performance data ingestion, transformation, and orchestration solutions;

- Ensure data quality, validation, lineage, documentation, and monitoring across platforms;

- Optimize pipelines and storage for cost, performance, and reliability;

- Translate technical decisions into clear explanations for non-technical stakeholders;

- Evaluate trade-offs and make defensible technical choices;

- Mentor and uplift mid and junior engineers and enforce engineering standards;

- Break down complex, ambiguous problems and drive them to resolution;

- Take ownership of platform outcomes and drive long-term data platform evolution;

- Support data-driven decision-making and scalable analytics solutions across the organization;

- Hybrid Work Model;

What You Are:

- Minimum of 5 years of experience in Data Engineering with focus on cloud-native solutions and data architecture;

- Strong experience in end-to-end data architecture and design (ingestion, modeling, storage, orchestration, e.g. Medallion);

- Proficiency in cloud-native engineering with Microsoft technologies (Fabric, Azure Data Factory, Synapse);

- Experience with other cloud platforms and comparable tools (AWS, Google Cloud);

- Hands-on experience with data warehousing and data lake solutions (BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift);

- Strong programming skills in Python (Pandas, Boto3), SQL, or Spark;

- Strong knowledge of RDBMS (Oracle, MS SQL Server) and/or NoSQL databases (MongoDB, ElasticSearch, BigQuery);

- Experience with DevOps/DataOps practices and CI/CD pipelines;

- Experience implementing data validation, lineage, documentation, and monitoring at scale;

- Proven ability to optimize data pipelines and storage for performance, cost, and reliability;

- Fluent in Portuguese and English;



What youll get:

- Wage according to candidate's professional experience;

- Remote Work whenever possible;

- Allocation of health insurance from the beginning of the employment;

- Delivery of work equipment adjusted to the performance of functions;

- And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!