Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
iugu

Senior Data Engineer

iugu

Senior Data Engineer evolving from classic Datalake to modern data stack with iugu. Building reliable data pipelines and collaborating for data-driven solutions.

Posted 4/15/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSBigQueryCloudPySparkSQLTerraform

About the role

Key responsibilities & impact
  • Build and evolve ingestion and transformation pipelines on the current stack (Snowflake + dbt + Fivetran), ensuring reliable data for the whole company;
  • Participate in migrating the legacy architecture (EMR/PySpark/Redshift) to the modern data stack, focusing on operational simplicity and data quality;
  • Design semantic layers (staging, intermediate, marts) that serve both BI and feature needs for AI models;
  • Monitor, diagnose and optimize data processing, proactively anticipating issues;
  • Collaborate with Product, Risk, Finance and Engineering teams to translate business needs into sustainable data solutions;
  • Use generative AI as a productivity tool in day-to-day work (code generation, documentation, debugging) — this is expected.

Requirements

What you’ll need
  • Advanced SQL — data modeling, performance tuning, and debugging complex queries;
  • Experience with ELT/data integration tools (Fivetran, Airbyte or similar);
  • Experience with cloud data warehouses — Snowflake is current, but Redshift or BigQuery experience also counts;
  • Knowledge of version control and software best practices (Git, code review, testing);
  • Ability to read a dataset, question its provenance and advocate for its quality;
  • Experience with dbt (Core or Cloud) — modeling, tests, documentation;
  • Familiarity with Snowflake (warehouses, stages, tasks, Snowpipe, Cortex);
  • Background in AWS (S3, Glue, Athena, EMR) — useful during the transition;
  • Exposure to AI/ML concepts applied to data: embeddings, feature stores, pipelines for LLMs;
  • Terraform or other IaC — our data infrastructure is code;
  • Experience in fintechs or high-data-criticality environments.

Benefits

Comp & perks
  • Bradesco Health & Dental: convenient options for managing healthcare.
  • TotalPass: platform offering 250+ workout modalities across thousands of gyms.
  • Vittude: access to psychological consultations with a 40% discount.
  • Life Insurance: solutions to help deal with unexpected challenges.
  • Breakfast: available every day at the office.
  • Fresh fruit: available daily at the office.
  • Mini-market: options for snacks, ready meals and beverages.
  • Childcare assistance: for parents.
  • Extended maternity leave: 180 days.
  • Extended parental leave: 30 days.
  • Short-term incentive: performance-based.
  • Day off: during your birthday month.
  • iu+go: semi-annual performance management program.
  • iugu academy: access to regulatory content and targeted learning paths.
  • Partnerships: discounts at educational institutions.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata modelingperformance tuningdebuggingELTdata integrationdbtAWSTerraformAI/ML concepts
Soft Skills
collaborationproblem-solvingadvocacy for data quality