Data Engineer (w/ Databricks)

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 optimize scalable data pipelines and ETL processes using Databricks, Python, PySpark, and SQL. - Implement modern data architectures on cloud platforms such as AWS and Azure, ensuring high performance and scalability. - Work with data modeling, data integration, and data quality to support AI, ML, and BI initiatives. - Collaborate with cross-functional teams to design, build, and deploy data solutions that enable data-driven decision-making. - Utilize Databricks and modern data warehouse tools like Snowflake to support business intelligence and advanced analytics use cases. - Ensure data security, governance, and compliance best practices within cloud environments. - Apply agile methodologies to manage and deliver data engineering projects efficiently. - Troubleshoot and optimize database technologies, including SQL, NoSQL, Oracle, Hadoop, and Teradata. - Hybrid Model (Lisbon/Porto) What You Are: - A data engineering professional with 5 to 8 years of experience in data management, including data integration, modeling, optimization, and data quality. - Have 2 to 4 years of hands-on experience with Databricks, along with Databricks certifications (Associate, Professional, or Administration). - Strong expertise in SQL, Python, and PySpark for building and optimizing data solutions. - Experienced in cloud platforms such as AWS and Azure, with a solid understanding of cloud-native data solutions. - A problem-solver with a keen ability to design and implement robust, scalable, and efficient data solutions. - Knowledgeable in modern data architectures and cloud-based data warehousing technologies, including Snowflake and Databricks. - Familiar with relational and non-relational databases such as SQL, NoSQL, Oracle, Hadoop, or Teradata. 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!