What will I be doing?
- Contributing in all phases of the analytical application development life cycle
- Designing, developing and delivering high-volume applications for data analytics systems
- Writing well-designed, testable and efficient code
- Ensuring designs are in compliance with specifications
- Supporting continuous improvement by investigating alternatives and technologies and presenting these for architectural review
What skills do I need?
- Great knowledge of Python
- Great knowledge of SQL & DBMS
- Great knowledge of distributed processing (Apache Spark, Hadoop, Hive, Presto, or similar)
- Deep understanding of data modelling (Star schema, Snowflake) and manipulation/cleansing
- Good knowledge of non-relational databases (NoSQL) and semi-structured/unstructured data
- Experience with AWS environment (S3, Redshift, RDS, SQS, Athena, Glue, CloudWatch, Lambda, or similar)
- Experience with code versioning (GitHub or similar)
- Experience in Batch processing (ETL/ELT)
- Advanced/fluent English
Top Skills
What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries.
With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce:
Payins: Accept local payment methods
Payouts: Compliantly send funds cross-border
Defense Suite: Manage fraud effectively
dLocal for Platforms: Unify your platform’s payment solution
Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners









