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[Job - 29349] Senior Data Developer (AWS), Brazil

2 hours, 38 minutes ago
Brazil
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Databricks GitLab SQL Terraform
Apply Now
CI&T

CI&T

CI&T is a global digital technology agency empowering agile growth for leading companies through advanced technologies with a team of 2000 experts worldwide.

Internet Software & Services
5K-10K
Founded 1995
View All Jobs 185

Description

  • Design and build end-to-end data pipelines across RAW, Silver, and Gold layers of the Medallion Architecture.
  • Architect data ingestion, transformation, standardization, and serving processes from diverse and heterogeneous sources.
  • Model data for analytical consumption using Data Warehouse best practices, including Star Schema and dimensional modeling.
  • Identify, evaluate, consolidate, and validate new data sources aligned with agronomic business objectives.
  • Translate business and domain requirements into data architecture decisions in collaboration with stakeholders and client leadership.
  • Optimize and serve data in formats such as Parquet, CSV, and geospatial datasets for downstream AI and map-based applications.
  • Manage and configure AWS cloud infrastructure, including storage, compute, access control, serverless functions, data cataloging, and event-driven processing.
  • Own deployment and CI/CD practices for data pipelines using GitLab, including branching strategy, test gates, and automated deployments.
  • Support the data layer that feeds AI/ML applications by ensuring data quality, structure, and availability.
  • Operate proactively in a greenfield environment by questioning assumptions, proposing solutions, experimenting, and iterating with the team.

Requirements

  • B2 level or above English proficiency for technical communication with international stakeholders.
  • Solid hands-on experience with AWS, including S3, IAM, Redshift, Lambda, and Glue.
  • Experience with Terraform or equivalent Infrastructure-as-Code tooling in real data engineering projects.
  • Strong proficiency with GitLab for source control, CI/CD configuration, deployment workflows, and test gate management.
  • Strong proficiency in SQL, including complex queries, analytical transformations, and performance tuning for data warehouses.
  • Strong proficiency in PySpark for large-scale distributed data processing and performance optimization.
  • Experience with Databricks in data engineering pipelines and lakehouse architectures, including migration and deployment scenarios.
  • Analytical data modeling expertise with Star Schema and dimensional modeling.
  • Hands-on experience with the Medallion Architecture and manipulation of Parquet and CSV files.
  • Experience integrating and consolidating data from multiple heterogeneous sources.
  • Comfort operating in greenfield projects with ambiguity and ownership.
  • Familiarity with SnapLogic or similar low-code/no-code ETL orchestration tools such as Pentaho, Airflow, or Alteryx (preferred).
  • Experience with geospatial data processing and map-based analytical environments (preferred).
  • Knowledge of DuckDB for in-process analytical queries (preferred).
  • Background in agribusiness or precision agriculture data projects (preferred).
  • Exposure to predictive modeling workflows as a data provider to ML pipelines, not as a model developer (preferred).

Benefits

  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended paternity leave.
  • Gym and wellness partnerships via Wellhub (Gympass) and TotalPass.
  • Profit sharing and results participation (PLR).
  • Life insurance.
  • Continuous learning platform and partnerships with online learning platforms, including language learning support.

Interested in this position?

Apply directly on the company website

Apply Now

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