Fimple is a product company that is solely focused on building a cloud native, highly composable and extendible platform to serve end to end platform requirements of digital, disruptive and new entrant financial players that need the agility. We provide a modern, highly composable and extensible platform with great ecosystem/marketplace support to power the business needs and let them thrive in a rapidly changing market.
We are seeking a skilled and experienced Data Warehouse Specialist to join our dynamic team. As a Data Warehouse Specialist, you will play a crucial role in managing our data infrastructure, ensuring its integrity, and driving efficient data processing. The ideal candidate should have a strong background in database management, SQL, ETL tools, and a hands-on approach to tasks. Additionally, proficiency in English is essential to collaborate effectively in our international work environment.
What Will The Right Person Look Like?
- Bachelor’s degree in Computer Science, Information Technology, or a related field. A master’s degree is a plus.
- Proven work experience as a Data Warehouse Specialist or in a similar role.
- Strong knowledge of database management concepts, SQL, and ETL tools.
- Hands-on experience in designing and developing ETL processes and data pipelines.
- Proficiency in English, both written and verbal.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a team environment and independently when required.
What Will You Be Doing?
- Design and maintain the data warehouse infrastructure, ensuring high availability and optimal performance.
- Develop and maintain ETL processes to efficiently process and integrate data from various sources.
- Collaborate with cross-functional teams to gather data requirements and design effective data models.
- Ensure data integrity, accuracy, and consistency through data quality checks and validations.
- Monitor and troubleshoot data-related issues, ensuring timely resolution.
- Optimize SQL queries and database performance to improve data retrieval and processing times.
- Participate in hands-on data analysis, reporting, and data visualization tasks as required.
- Stay up to date with industry trends and advancements in data warehousing technologies.