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, develop, and maintain robust and scalable data pipelines in a cloud-based environment;

- Configure and manage data ingestion processes into Azure Data Lake;

- Monitor and execute requests for new data connections and repository access;

- Ensure data quality, integrity, and security across all systems;

- Optimize and maintain ETL processes for performance and reliability;

- Work with tools such as Databricks, Azure, and OpenShift for data ingestion and processing;

- Develop data manipulation and transformation scripts using Python, Scala, and SQL;

- Implement pipelines and algorithms using Apache Spark or equivalent frameworks;

- Identify risks and propose improvements and fixes for data workflows;

- Collaborate with cross-functional teams to meet business and technical data needs;

- Hybrid Work Model.

What You Are:

- Minimum of 2 years of experience as a Data Engineer, ideally in Big Data and Cloud environments;

- Proficiency with Databricks, Azure, Spark, SQL, Scala, and Python;

- Experience in building and maintaining ETL pipelines and handling large data volumes;

- Good command of Swagger and familiarity with DevOps and Agile methodologies;

- Understanding of data security, governance, and performance optimization principles;

- Experience with data ingestion frameworks and data governance practices;

- Knowledge of emerging technologies in the Big Data ecosystem;

- Previous work experience in regulated industries (banking, insurance, telecommunications).



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!