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, implement, and maintain scalable, cloud-native data pipelines supporting analytics and business decision-making;

- Define and evolve data architectures that ensure reliability, performance, and scalability across the organization;

- Lead technical decisions related to data modeling, storage strategies, orchestration, and pipeline optimization;

- Translate complex technical concepts and architectural decisions into clear explanations for non-technical stakeholders;

- Evaluate trade-offs and make sound, defensible engineering decisions aligned with business objectives;

- Mentor and support mid-level and junior engineers, promoting best practices, standards, and a collaborative engineering culture;

- Break down complex and ambiguous problems into clear, actionable steps and drive them to resolution;

- Take ownership of delivery outcomes, proactively identify risks, and contribute to the long-term evolution of the data platform;

- Hybrid work model;

Who You Are:

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

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

- Proficiency in cloud-native engineering, preferably within Microsoft environments (Fabric, Azure Data Factory, Synapse), or equivalent tools in AWS or Google Cloud;

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

- Strong programming skills in Python (including data libraries such as Pandas, PySpark, Boto3), SQL, and/or Spark;

- Solid knowledge of relational databases (Oracle, Microsoft SQL Server, PostgreSQL) and/or NoSQL databases (MongoDB, ElasticSearch, BigQuery);

- Experience with DevOps / DataOps practices, including CI/CD pipelines;

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

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

- Fluent in English and Portuguese;



What youll get:

- Wage according to candidate's professional experience;

- Remote Work whenever possible;

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

- Benefits plan;

- 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!