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

Description

  • Design, build, and maintain ETL/ELT processes for a modern data lake architecture.
  • Develop and optimize distributed data processing workflows using Python and PySpark.
  • Implement partitioning strategies for data lake storage frameworks such as Delta Lake or Apache Iceberg.
  • Write and optimize complex SQL queries, including CTEs, window functions, conditional expressions, and aggregations.
  • Migrate and modernize data pipelines from legacy RDBMS platforms to cloud-native analytics environments.
  • Contribute to reusable in-house libraries using object-oriented programming principles.
  • Work with AWS-native services such as Glue, Athena, Redshift, S3, Lambda, and EventBridge.
  • Collaborate with infrastructure and DevOps teams to provision data resources using Infrastructure as Code tools.
  • Monitor pipeline health and performance using CloudWatch and other observability tools.
  • Partner with analysts, scientists, and business stakeholders to translate requirements into scalable technical solutions.

Requirements

  • Solid experience with ETL processes and data pipeline development on AWS.
  • Strong proficiency in Python and demonstrated experience with PySpark.
  • Thorough understanding of SQL, including complex queries and legacy RDBMS migration.
  • Hands-on experience with AWS Glue, Athena, and Redshift.
  • Solid understanding of data lake architectures and partitioning strategies.
  • Good understanding of object-oriented programming and reusable code libraries.
  • Comfortable working with Git, shell scripts, and Linux environments.
  • Familiarity with observability, monitoring, and metric tracking practices.
  • English proficiency at an advanced/fluent level.
  • Experience with Delta Lake or Apache Iceberg is preferred.
  • Knowledge of TypeScript is preferred.
  • Practical experience with IaC tools such as CloudFormation, CDK, or Terraform is preferred.
  • Familiarity with additional AWS services such as SageMaker AI, ECS, RDS, DynamoDB, IAM, or EventBridge is preferred.
  • Experience with Pandas for data manipulation and analysis is preferred.
  • Exposure to machine learning workflows or AI-driven data initiatives is 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 through CI&T University and other online learning partnerships.
  • Discount club.
  • Free online platform focused on physical, mental, and overall well-being.
  • Pregnancy and responsible parenting course.
  • Language learning platform.

Interested in this position?

Apply directly on the company website

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