.Data Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Portugal - Hybrid Reporting To: João França Description Your new company A tech scale up with Big Plans... When you join Exclaimer you will join a global award winning SaaS provider with an exceptional revenue rate, ambitious growth plans, and an exciting work culture. Not Heard of us ? We provide world-class email signature solutions that let organizations of any size achieve brand consistency, legal compliance, and customer engagement on any device. Designed for Microsoft 365, Google Workplace, and Microsoft Exchange, our solutions are used by over 50,000 customers in 150+ countries. Some of these customers include renowned companies such as Sony, Mattel, Bank of America, NBC, the Government of Canada, the BBC, and the Academy Awards. We have over 275 employees worldwide.As part of our continued growth, we are looking for a Data Engineer to join the Data Platform team. We need someone that is an enthusiastic problem solver, who likes to be challenged, and has the drive to go out of their comfort zone. We need you to be resourceful and committed to quality, a good communicator, and a team player. Your role in our team The Data Platform team is responsible for a collecting, analysing and sharing data across the business. You will work on the design, development, and maintenance of reliable, efficient, and scalable data systems and pipelines to support the Exclaimer growing business. Key Responsibilities Analyze complex data challenges and recommend adequate solutions according to the identified requirements; Design, develop and maintain efficient, reliable and scalable data systems and pipelines to support the idealized solutions. Work closely with the data analytics team to understand requirements, ensure adequate data architectures and deliver end-to-end data initiatives. Align with the IT, platform, engineering and product teams to deliver technically robust and business aligned solutions to production. Work well in a modern agile software engineering environment, with source code control, release cycles, extensive testing, and continuous deployment. Skills Knowledge and Expertise BSc/MSc in Computer Science or related fields. Experience with software prototyping, development and testing. Experience with ETL/ELT pipelines that include both batch and stream processing. Experience with programming in Python/Spark (e.G. PySpark, Spark SQL, Spark Streaming, etc). Experience with data manipulation libraries (e.G. Pandas, NumPy, etc). Experience with data querying and manipulation using SQL. Knowledge of Databricks and related technologies (e.G. Delta Lake, Delta Live Tables, etc). Knowledge of relational (e.G. SQL Server, etc) and No-SQL (e.G. MongoDB, etc) databases. Familiarity with message queues and streaming services (e.G. Azure Event Hub, Kafka, etc). Familiarity with Azure and other cloud-native technologies
