Master Data Developer

Job not on LinkedIn

🕒 July 31

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• 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 • 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 • Work confidently with AWS-native services including Glue, Athena, and Redshift • 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

🎯 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

🏖️ Benefits

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