Data Driven | Azure Databricks Data Engineer
Porto, Portugal
Devoteam
Transform your bussines with Devoteam, the AI-driven tech consulting. Become a leading company embracing AI for sustainable value.Company Description
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
Job Description
The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. He/she will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. His/her role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions.
Key Responsibilites:
• Collaborate in the design, construction, installation, tests, and maintenance of highly scalable data management systems using Azure Databricks.
• Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities.
• Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.
• Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes.
• Collaborate with data architects to implement effective data models and schemas within the Databricks environment.
• Monitor data reliability, efficiency, and quality, and implement improvements as needed.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Develop and maintain documentation related to data pipeline architecture, development processes, and data governance;
• Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks.
Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or proven experience in a similar field.
• Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services.
• Strong programming skills in languages such as Python, Scala, or Java.
• Experience with Apache Spark and its integration with Databricks.
• Proficiency in SQL and experience with data modeling and data warehousing concepts.
• Familiarity with DevOps practices and CI/CD pipelines.
• Excellent analytical and problem-solving abilities.
• Effective communication skills in English and Portuguese and the ability to work collaboratively in a team environment.
Additional Information
The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data CI/CD Computer Science Cosmos DB Databricks Data governance Data management Data pipelines Data quality Data warehouse Data Warehousing DevOps Engineering ETL Java Pipelines Python Scala Security Spark SQL
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