Data Engineer (Databricks) at Wizeline

<p><strong>We are:</strong><br>Wizeline, a global AI-native technology solutions provider, develops cutting-edge, <strong>AI-powered</strong> digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of <strong>growth, collaboration, </strong>and <strong>impact.</strong><strong><br></strong><strong><br></strong><strong>With the right people and the right ideas, there’s no limit to what we can achieve</strong></p> <p><strong>Are you a fit?</strong><br>Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:</p> <p><strong><em>Key Responsibilities</em></strong></p> <ul> <li>Design, develop, and maintain scalable data pipelines using ETL/ELT processes.</li> <li>Develop and implement data integration workflows to meet operational business needs.</li> <li>Write robust scripts and complex SQL queries to extract, transform, and load data from multiple sources.</li> <li>Design, optimize, and maintain data pipelines and architectures, ensuring data accessibility, cleanliness, and reliability.</li> <li>Contribute to the design and implementation of data warehouse architectures and data lakes.</li> <li>Support stream and batch data processing workflows.</li> <li>Work with relational and non-relational databases, ensuring efficient design and optimization.</li> <li>Apply data modeling techniques to support data consumption and analytics requirements.</li> <li>Ensure data quality, consistency, and compliance with data governance and security practices.</li> <li>Collaborate with software engineers and data consumers to align data integration workflows with business needs.</li> <li>Apply version control and CI/CD principles to support reliable data development and deployment.</li> </ul> <p><strong><em>Must-have Skills</em></strong><strong><em>&nbsp;</em></strong></p> <ul> <li>At least 4 years of professional experience as a Data Engineer.</li> <li>Proven experience designing, building, and maintaining scalable data pipelines and ETL/ELT processes.</li> <li>Experience developing data integration workflows and working with multiple data sources.</li> <li>Experience designing, optimizing, and maintaining data architectures and pipelines.</li> <li>Experience with relational and non-relational database design and optimization.</li> <li>Experience with data pipeline orchestration and workflow management.</li> <li>Experience with cloud infrastructure and data security and governance best practices.</li> <li>Advanced SQL.</li> <li>Azure and Databricks.</li> <li>Data processing using batch and stream processing paradigms.</li> <li>Version control and CI/CD principles.</li> <li>Data quality, consistency, and reliability practices.</li> </ul> <p><strong><em>Nice-to-have:</em></strong></p> <ul> <li><strong>AI Tooling Proficiency</strong>: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.</li> </ul> <p><strong>What we offer:</strong></p> <ul> <li>A High-Impact Environment</li> <li>Commitment to Professional Development</li> <li>Flexible and Collaborative Culture</li> <li>Global Opportunities</li> <li>Vibrant Community</li> <li>Total Rewards</li> </ul> <p><em>*Specific benefits are determined by the employment type and location.</em></p> <p>&nbsp;</p> <p>Find out more about our culture <a href="https://www.instagram.com/wizelineglobal/">here</a>.</p>