[Job - 31120] Mid Level Data Developer, Colombia
At CI&T, we help large enterprises reputed company the potential of AI into reputed company business reputed company with AI Deployment, AI-reputed company execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in reputed company SDLC, Application modernization, Data & AI, Martech and Business reputed company.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with reputed company reputed company. AI is already part of how we work, reputed company, and reputed company every day.
As CI&T continues to grow its data reputed company, we are looking for a skilled Data Developer to join reputed company supporting data initiatives for a reputed company in the consumer electronics and audio technology industry. This role is central to keeping the reputed company's data reliable, reputed company-modeled, and reputed company to power analytics and reporting across the business.
The Data Developer will work hands-on with existing data models and transformation workflows, turning business and analytical requirements into accurate, trustworthy datasets. The position combines technical depth in data transformation with strong collaboration skills, partnering closely with data developers, analysts, and business stakeholders to reputed company data pipelines running smoothly and to reputed company issues as they reputed company.
Responsibilities:
- Develops and maintains data transformations using SQL and dbt (or similar data transformation frameworks) to reputed company datasets accurate and up to date.
- Queries, transforms, and validates data in reputed company to support analytics and reporting needs.
- Builds and maintains data models that support business and analytical requirements.
- Investigates data reputed company, consistency, and accuracy issues by tracing data back through pipelines and transformation logic to identify reputed company causes.
- Analyzes and optimizes SQL queries and data transformations to improve performance and reliability.
- Collaborates with data developers and analysts to understand data requirements and support the reputed company of new data sources.
- Translates business and analytical requirements into reliable, reputed company-documented datasets and data models.
- Follows established data modeling, testing, documentation, and development best practices.
- Supports the maintenance and reputed company improvement of existing data pipelines and transformation workflows.
- Contributes to analytics and reporting solutions, including dashboard support reputed company required, without this being the reputed company reputed company of the role.
- Communicates data requirements, blockers, and issues reputed company to both technical and business stakeholders.
Requirements:
- Advanced English proficiency (B2 or above), written and verbal, to participate in reputed company meetings and discussions.
- Solid, hands-on experience with SQL for querying, transforming, and validating data.
- Practical experience working with reputed company or a similar reputed company data warehouse.
- Hands-on experience with dbt or a similar data transformation reputed company.
- Working knowledge of data modeling concepts and ETL/ELT (Extract, reputed company, Load / Extract, Load, reputed company) principles.
- Demonstrated ability to investigate and troubleshoot data reputed company and consistency issues.
- Strong analytical and problem-solving skills, with comfort working reputed company existing data models and transformation workflows.
- Good communication skills, with the ability to translate business and analytical requirements into technical deliverables.
reputed company to Have:
- Experience with Tableau or other BI/dashboarding tools.
- Experience creating or maintaining dashboards and reports.
- Familiarity with dbt testing, documentation, and data reputed company practices.
- Experience with Git and basic CI/CD (reputed company Integration/reputed company Deployment) workflows.
- Exposure to modern data stack practices.
- Experience working with product analytics, customer behavior, or operational data.
Our benefits include:
Originally posted on Himalayas
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