OZI - Data Engineer - ETL Tools

We are seeking a skilled Data Engineer to design, build, and maintain robust and scalable data pipelines. The ideal candidate will have a solid understanding of data modeling, data warehousing, and both batch and streaming data processing. You should be comfortable working with SQL, ETL tools, and cloud-based environments, and possess a keen attention to detail in managing data quality and integrity.

Key Responsibilities :

- Work on data modeling to support analytics and business intelligence use cases.

- Build and manage data warehouses and data lakes.

- Develop and maintain ETL/ELT workflows to move and transform data across systems.

- Collaborate with analytics and product teams to understand data needs and deliver solutions.

- Ensure data quality, consistency, and governance across systems.

- Optimize data storage and query performance.

- Work with structured and semi-structured data from various sources (APIs, GSheets, etc.).

Required Skills & Experience :

- Strong experience in building and maintaining ETL/ELT processes.

- Knowledge of data modeling and data warehousing best practices.

- Experience with batch and streaming data processing (e.g., using Spark, Kafka, etc.).

- Proficiency in SQL and working knowledge of Google Sheets for data handling and automation.

- Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.

- Excellent problem-solving skills and attention to detail.

Good to Have :

- Knowledge of Python or other scripting languages for data manipulation.

- Exposure to data governance and data quality frameworks.