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CI&T

Senior Data Developer

CI&T

. Build, optimize, and maintain scalable data pipelines and ETL/ELT processes for analytics and business intelligence .

Posted 9/23/2026full-timeRemote • ColombiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and optimizing scalable data pipelines, implementing data architectures, and ensuring data quality and compliance with privacy regulations. Proficient in leveraging cloud platforms and modern data stack tools to enhance data engineering workflows.

Highest-signal resume keywords
Data Pipeline DevelopmentETL/ELT ProcessesCloud Platform ExperienceData Warehousing SolutionsSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentETL ProcessesData WarehousingSQLData ModelingDatabase DesignProgramming (Python, Scala, Java)Data Quality ChecksData IntegrationData Architecture
Soft Skills
CollaborationCommunication (English B2, Spanish)
Tools & Technologies
AzureAWSGCPDatabricksSnowflakeBigQueryRedshiftDbtAirflowKafka
Certifications & Qualifications
Cloud Platform CertificationsData Engineering Certifications
Industry Keywords
Data Privacy RegulationsBusiness IntelligenceData LakesStreaming Data PlatformsInternational Client Experience

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaKafkaPythonScalaSQL

About the role

Key responsibilities & impact
  • Build, optimize, and maintain scalable data pipelines and ETL/ELT processes for analytics and business intelligence
  • Implement data architectures, including data lakes, warehouses, and integration layers
  • Implement data quality checks, validation processes, and monitoring systems
  • Develop and maintain integrations between data sources, third-party tools, and analytics platforms
  • Collaborate with Data & Analytics Managers, data scientists, and business stakeholders to deliver technical solutions
  • Monitor and optimize data pipeline performance, query efficiency, and storage costs
  • Create and maintain technical documentation for data architectures, pipelines, and processes
  • Implement security best practices and ensure compliance with data privacy regulations
  • Leverage AI tools and automation to enhance data engineering workflows and productivity

Requirements

What you’ll need
  • Experience with major Cloud Platform providers (Azure, AWS, or GCP)
  • Experience with data platforms Databricks or Snowflake
  • Good level of English B2 or above
  • Experience working with international clients
  • Strong experience with data pipeline development and ETL/ELT processes
  • Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
  • Experience with SQL and at least one programming language (Python, Scala, or Java)
  • Understanding of data modeling and database design principles
  • Spanish communication (reading, writing, and speaking) is mandatory
  • Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
  • Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis)
  • Certifications in cloud platforms or data engineering

Benefits

Comp & perks
  • Premium Healthcare
  • Meal voucher
  • Maternity and Parental leaves
  • Mobile services subsidy
  • Sick pay-Life insurance
  • CI&T University
  • Colombian Holidays
  • Paid Vacations