---
title: '[Job - 30760] Master Data Developer, Colombia at CI&T'
canonical: 'https://feeny.ai/job/job-30760-master-data-developer-colombia-ci-t-colombia-m1r3pvrbmhyv'
type: 'job'
last_seen: '2026-09-07'
---

# [Job - 30760] Master Data Developer, Colombia at CI&T

- **Company:** CI&T
- **Location:** Colombia
- **Work type:** remote
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/ciandt/b70649ba-6030-46c7-9c5b-90e5df9ed4df

## Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

As CI&T continues to expand its data and analytics capabilities, we are seeking a talented and experienced Data Developer to join our team and drive the evolution of modern data platforms for our clients. This role is critical in designing, building, and optimizing scalable data pipelines and lake architectures that empower data-driven decision-making across the organization. The Data Developer will work with cloud-native solutions to support the entire data lifecycle—from ingestion and transformation to storage optimization and analytics enablement. This position requires strong technical expertise in distributed data processing, deep SQL proficiency, and a solid understanding of cloud infrastructure, particularly within the AWS ecosystem. The ideal candidate will balance performance, cost, and maintainability while contributing to reusable, well-architected data solutions.

Responsibilities: Data Pipeline Development & Optimization: Design, build, and maintain robust ETL/ELT processes to ingest, transform, and deliver data across a modern Data Lake architecture Develop and optimize distributed data processing workflows using Python and PySpark to handle large-scale datasets efficiently Implement and refine partitioning strategies for data lake storage frameworks (such as Delta Lake or Apache Iceberg) to balance query performance with storage costs Data Transformation & Modeling: Write, optimize, and translate complex SQL queries involving CTEs, window functions, conditional expressions, and aggregations Migrate and modernize data pipelines from legacy RDBMS platforms to cloud-native analytics environments Leverage object-oriented programming principles to contribute to in-house libraries for code reusability and standardization Cloud Infrastructure & Orchestration: Work confidently with AWS-native services including Glue (Jobs, Catalog, Triggers, Workflows), Athena, Redshift, S3, Lambda, EventBridge, and related data services Collaborate with infrastructure and DevOps teams to provision and manage data resources using Infrastructure as Code (IaC) tools such as CloudFormation, CDK, or Terraform Monitor data pipeline health and performance using CloudWatch and other observability tools, proactively addressing issues and improving reliability Data Governance & Quality: Ensure data integrity, consistency, and compliance across pipelines and storage layers Implement metric tracking and observability frameworks to provide transparency into data workflows and SLAs Support data catalog management and metadata governance practices Collaboration & Continuous Improvement: Partner with data analysts, scientists, and business stakeholders to understand requirements and translate them into scalable technical solutions Contribute to technical documentation, code reviews, and knowledge sharing within the team Stay current with emerging data engineering practices, tools, and cloud-native innovations

Requirements: Solid experience working with ETL processes and data pipeline development with AWS Strong proficiency in Python as the primary programming language, with demonstrated experience writing and optimizing PySpark code for distributed data processing Thorough understanding of SQL, including complex queries (CTEs, window functions, aggregations, conditional expressions) and experience translating workloads from legacy RDBMS platforms Hands-on experience with AWS Glue (Jobs, Catalog, Triggers, Workflows), Athena, and Redshift Solid understanding of Data Lake architectures and partitioning strategies to optimize performance and cost Good understanding of object-oriented programming (OOP) principles and experience working with reusable code libraries Comfortable working with Git, Shell scripts, and Linux environments Familiarity with observability, monitoring, and metric tracking practices English Advanced/Fluent

Nice to Have: Experience with open table formats such as Delta Lake or Apache Iceberg Knowledge of TypeScript Practical experience with Infrastructure as Code (IaC) tools such as CloudFormation (preferred), CDK, or Terraform Familiarity with additional AWS services such as SageMaker AI, ECS, RDS, DynamoDB, IAM, or EventBridge Experience working with Pandas for data manipulation and analysis Exposure to machine learning workflows or AI-driven data initiatives

## #LI-JP3

Our benefits include:

- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations And many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

## About CI&T

## Company Overview
- **One-liner**: CI&T is a global digital services company that helps large enterprises deploy AI to drive measurable business impact through strategy, AI-native execution, and IP-based solutions.
- **Entity Type**: Public (NYSE: CINT)
- **Headquarters**: New York, United States
- **Founded**: 1995
- **Founders**: Not publicly available as individual names

## Core Business
- Primary industry/industries: IT Services and IT Consulting
- Target customers: B2B, primarily large enterprises and fast-growth clients across multiple industries
- Mission or purpose statement: "From AI ambition to measurable business impact." The company helps clients navigate change by pairing business strategy, AI-native execution, and IP-based solutions to turn AI investment into outcomes.

## Products & Services
- **CI&T FLOW**: Proprietary AI system that boosts team productivity and ensures fast, efficient, and scalable results.
- **Lean AI Methodology**: A structured approach for AI deployment that ships as fast as AI learns.
- **AI-Native Execution**: Hands-on development and deployment of AI solutions for enterprise clients.
- **Business Strategy & Consulting**: Identifying the right problems for clients and charting transformation roadmaps.
- **Application Modernization**: Modernizing legacy systems for cloud-native, AI-ready infrastructure.
- **Data & AI Services**: Data engineering, governance, business intelligence, data strategy, and analytics.
- **Martech & Digital Experience**: Commerce services, digital product design, customer experience, and digital experience platforms.
- **Professional Services**: General technology consulting and managed services.

## Market Standing
- **Valuation/Market Cap**: USD 928.4 million (as of October 2024)
- **Key Metric**: Annual Revenue of USD 489.6 million (fiscal year ending Dec 2024)
- **Notable Investors/Partners**: Advent International (led private equity round in 2019); Google Cloud Partner; recognized as a Strong Performer in The Forrester Wave for Modern Application Development Services; recognized in Gartner Magic Quadrant for Custom Software Development Services.
- **Growth Signals**: Headcount grew 15.9% year-over-year to over 8,000 employees across 25+ countries; serves 100+ large enterprises and fast-growth clients; IPO in 2021; recognized as a Glassdoor Best Places to Work.

## Competitive Advantages
- **30-Year Track Record**: Proven history of helping clients navigate technological change since 1995.
- **AI-Native Focus**: Deep specialization in generative AI and AI deployment, not just general IT services.
- **Proprietary IP**: CI&T FLOW and Lean AI methodology create a differentiated, repeatable delivery model.
- **Global Scale with AI Builders**: 8,000+ "AI Builders" across 11 countries, offering both scale and nearshore/offshore cost advantages.
- **Analyst Recognition**: Consistently featured in Gartner Magic Quadrant and Forrester Wave reports.
- **Diverse Client Base**: Serves over 100 enterprise clients across multiple sectors, reducing dependency on any single industry.

## Strategic Focus
- **AI-First Transformation**: The company is fully pivoting to an AI-native model, positioning itself as the partner for enterprises moving from AI ambition to measurable impact.
- **IP Monetization**: Scaling CI&T FLOW as a commercial product/service beyond internal use.
- **Global Expansion**: Growing presence beyond Brazil (its largest talent base) into North America, Europe, and Asia-Pacific.
- **Talent Growth**: Continuing to hire aggressively, especially in AI, data, and engineering roles.

## Why Work Here
- **Culture & Inclusion**: Certified by the Great Place to Work Institute, featured on Glassdoor’s Best Places to Work list. Emphasis on diversity, equity, and inclusion with affinity groups and UN-recognized employment practices for people with disabilities.
- **Remote/Hybrid Policy**: Most roles are remote (home office) within Brazil or other countries of operation. Some positions, especially senior or collaborative roles, are hybrid (e.g., 3x/week in Campinas, Brazil).
- **Career Development**: Structured career process called "Journey" with a platform connecting feedback, results, and opportunities. Continuous support from leaders with personalized development plans.
- **Global Exposure**: Work across 25+ countries and 11 operating nations with a diverse, multicultural team of over 8,000 people.
- **Perks & Benefits**: Tailored benefits for personal and professional wellbeing, though specifics vary by location.
- **Size & Stability**: Publicly traded company with 30 years of history, combining startup-like innovation with corporate stability.
- **Engineering Culture**: Heavy emphasis on technical roles (53% of workforce is technical), with active hiring in AI, data, full-stack, and architecture positions.

## Sources
1. [ciandt.com - About Us](https://ciandt.com/sg/en/about-us)
2. [ciandt.com - Careers](https://ciandt.com/us/en-us/careers)
3. [investors.ciandt.com - IR Overview](https://investors.ciandt.com/)
4. [linkedin.com - CI&T Company Profile](https://www.linkedin.com/company/ciandt)
5. [jobs.lever.co - CI&T Open Positions](https://jobs.lever.co/ciandt)

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