BI/ Data Engineer

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with a mission to revolutionize the payroll and payments industry. With over $400M raised from top-tier investors, our innovative technology provides a comprehensive solution for managing global workforces, from hiring and onboarding to managing and paying employees in over 160 countries.

We are seeking an experienced BI\Data Engineer to join our our growing data group.

This is an amazing opportunity to play a pivotal role in developing and maintaining our data platform, ensuring data lineage, standardization, literacy, and high-quality data solutions.

Responsibilities:

• Design, build, and maintain ETL/ELT processes and data pipelines that support data integration and transformation, ensuring accuracy and reliability.
• Develop data models and ensure their alignment with business needs and data platform capabilities.
• Utilize frontend and backend practices and tools such as Tableau, Looker, Power BI and more to create interactive and insightful visualizations and dashboards.
• Work with a variety of data platforms, including databases, data lakes, and data warehouses, ensuring data lineage, quality, and security.
• Collaborate with cross-functional teams to enable data-driven decision-making across the organization.
  
  

• 3+ years of experience in data engineering, data modeling, and data coding, with focus on data enginerring abilities skills.
• Proficiency in SQL, Python, and other programming languages for data manipulation and transformation.
• Vast experience working with data platforms, i.e. - databases, data lakes, and data warehouses (MySql, Snowflake, Postgres and more).
• Detail-oriented mindset with a strong commitment to delivering on-time high-quality results.
• Excellent communication skills to collaborate with cross-functional teams and stakeholders.
• Strong expertise in frontend and backend practices and tools, including Tableau, Looker, Power BI, etc.
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
  
  

• Experience with Data Warehouse Design
• Experience with Cloud-Based ETL tools
• Experience with Tableau
• Financial / Accounting Data Analytics
• Experience with Python, JavaScript, HTML and CSS