Senior Analytics Engineer

TL;DR

Senior Analytics Engineer (Data & AI): Designing and delivering high-volume applications for data analytics systems with an accent on data modelling, distributed processing, and efficient code. Focus on ensuring designs comply with specifications, optimizing performance, and integrating with AWS environments.

Location: Hybrid in Barcelona, Madrid, Sao Paulo, Buenos Aires, or Montevideo.

Company

hirify.global enables global companies to collect payments in emerging markets, serving as both a payments processor and a merchant of record.

What you will do

• Contribute to all phases of analytical application development.
• Design, develop, and deliver high-volume applications for data analytics systems.
• Write well-designed, testable, and efficient code.
• Ensure designs are in compliance with specifications.
• Support continuous improvement by investigating alternatives and technologies.

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) and Batch processing (ETL/ELT).
• English: Advanced/fluent required.

Culture & Benefits

• Flexible schedules driven by performance.
• Work in a dynamic fintech industry.
• Referral bonus program.
• Access to a Premium Coursera subscription.
• Free English, Spanish, or Portuguese language classes.
• Monthly social budget to chill out with your team.
• hirify.global Houses to spend one week coworking with your team anywhere in the world.