Data Warehouse Specialist



Application Form

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.

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