Senior Analytics Engineer developing high-volume applications for data analytics at dLocal. Collaborating with a global team in the fintech industry to enhance payment collection solutions.
Responsibilities
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
Requirements
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
Benefits
Flexibility: we have flexible schedules and we are driven by performance.
Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.
Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
Learning & development: get access to a Premium Coursera subscription.
Language classes: we provide free English, Spanish, or Portuguese classes.
Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
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