Data Engineer

• Your experience, knowledge, and commitment will help us to face our client's challenges.
• You will be supporting different projects through your expertise as Data Engineer.
• Your main responsibilities: Develop and maintain robust ETL pipelines to acquire data from diverse sources, including Oracle, SAP, and SQL-based systems.
• Transform raw data into clean, structured datasets that support reporting, analytics, and data science use cases.
• Collaborate with Data Science, Reporting, and Front-End teams to deliver reliable and reusable data solutions.
• Contribute to the creation of reusable frameworks, standardize patterns, and maintain comprehensive technical documentation.
• Participate in agile development processes, engaging in daily stand-ups and iterative releases with product managers and engineering peers.
• Monitor, troubleshoot, and optimize data workflows to ensure high performance and availability in a production environment.
• Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, or a related technical field.
• 3+ years of experience in Data Engineering Proven experience designing and implementing end-to-end ETL/ELT data pipelines.
• Strong proficiency in SQL and Python for data processing and transformation.
• Hands-on experience with Azure Cloud services and familiarity with tools such as Databricks, Delta Lake, and Spark.
• Knowledge of CI/CD pipelines and version control tools such as Git, Azure DevOps, or GitHub.
• Comfortable working in agile environments, with experience in iterative development and A/B testing methodologies.

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