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[Job-26855] MidLevel Data Engineer, BrazilBrazilTheta

Ciandt

About Ciandt

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

Job Summary

We are hiring mid-level Data Engineers to support a data modernization initiative migrating core systems from Amazon Redshift to Snowflake. This role is hands-on and delivery-focused, working under a Principal Data Architect and alongside a Data Product Manager. This is not a senior or architecture role. The focus is on implementing ingestion pipelines, transformations, and data models following established standards.

Key Responsibilities

  • Build and maintain data ingestion pipelines from APIs and SFTP sources
  • Implement ELT transformations using SQL and dbt (or similar)
  • Support incremental loads, historical backfills, and schema changes
  • Monitor and troubleshoot pipeline failures
  • Create and maintain Snowflake tables, views, and tasks
  • Optimize queries and warehouse usage for performance and cost
  • Work closely with the Data Architect to implement target designs
  • Collaborate with the Data Product Manager on data requirements
  • Participate in agile ceremonies (standups, planning, reviews)
  • Document pipelines and data assumptions clearly

Required Qualifications

  • 3–6 years of experience as a Data Engineer
  • Strong SQL skills (analytical queries, joins, performance tuning)
  • Hands-on experience with cloud data warehouses (Snowflake preferred; Redshift, BigQuery, or similar acceptable)
  • Experience building pipelines using APIs and/or SFTP
  • Experience with ELT frameworks (dbt preferred)
  • Experience working in AWS environments (S3, IAM basics)
  • Understanding of data modeling concepts (staging, facts, dimensions)
  • Exposure to orchestration tools (Airflow or similar)
  • Advanced English (spoken and written)
  • Comfortable collaborating with US-based stakeholders
  • Ability to raise risks and blockers proactively

Nice to Have

  • Snowflake certifications
  • Financial services or regulated industry experience
  • Python for data processing or automation
  • Experience supporting production data platforms

Benefits

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
  • Profit Sharing and Results Participation (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms

To apply for this job please visit jobs.lever.co.