Data Engineer

Job Title - Data Engineer

About Tazapay

Tazapay is a cross border payment service provider. They offer local collections via local payment methods, virtual accounts and cards in over 70 markets. The merchant does not need to create local entities anywhere and Tazapay offers the additional compliance framework to take care of local regulations and requirements. This results in decreased transaction costs, fx transparency and higher auth rates.

They are licensed and backed by leading investors. www.tazapay.com

What’s exciting waiting for You?

This is an amazing opportunity for you to join a fantastic crew before the rocket ship launch. It will be a story you will carry with you through your life and have the unique experience of building something ground up and have the satisfaction of seeing your product being used and paid for by thousands of customers. You will be a part of a growth story be it anywhere - Sales, Software Development, Marketing, HR, Accounting etc.

We believe in a culture of openness, innovation & great memories together.

Are you ready for the ride?

Find what interesting things you could do with us.

About Role

This position will be part of the Data engineering team. The ideal candidate will have extensive experience in AWS Glue Pyspark ETL, Athena, Quicksight, python and other relevant data engineering tools and technologies. Design, develop, and maintain ETL processes to transform and load data from various sources into our data lake. Design optimized data models for data warehouse and business intelligence analytics to support efficient querying and reporting. Optimize data pipelines and queries for performance and cost-efficiency. Implement and enforce data governance policies and best practices to ensure data security, privacy, and compliance.

Requirements

Must Have

• BE / B.Tech / M Sc / MCA / ME / M.Tech
• 5+ years of expertise in data engineering
• Strong experience in AWS Glue Pyspark for ETL processes.
• Proficient with AWS Athena & SQL for data querying.
• Expertise in AWS Quicksight for data visualization and dashboarding.
• Solid understanding of data lake concepts, data modelling and best practices.
• Strong experience with AWS cloud, including S3, Lambda, Redshift, Glue and IAM.
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  
  
  

Nice to have

• Fintech domain knowledge is a plus
• AWS certifications
• Experience with large data lake implementations
  
  
  

Join our team and let's groove together to the rhythm of innovation and opportunity!

Your Buddy

Tazapay