Data Engineer Associate: Pipelines & Analytics

Auxis; Bogotá; Presencial; COP 60.000.000 - 90.000.000; Jornada completa

Descripción de la vacante

Auxis seeks a Data Engineer (Associate) to design, build, and maintain data pipelines and analytics-ready datasets powering reporting, analytics, and data products. You will implement ingestion/transformation patterns, ensure data quality, and collaborate with analytics, data science, and business stakeholders to deliver trusted data assets.

You will work on on‑prem or cloud-native platforms, focusing on reliability, governance, and scalable engineering practices within an Agile environment.

Formación

• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or equivalent practical experience.
• 1–3 years of relevant experience in data engineering, analytics engineering, or related technical roles.

Responsabilidades

• Design, build, and maintain batch and/or streaming data pipelines and contribute to the development of reusable data pipeline components, templates and utilities using established engineering standards, patterns, and reference architectures.
• Assist with onboarding new data sources by performing source data profiling, documenting assumptions, and validating data completeness and quality.
• Implement data transformations and analytical models to produce curated, analytics-ready datasets that support reporting and advanced analytics use cases.
• Support schema evolution and change management to minimize downstream impact when source data changes.
• Collaborate with data analysts, data architects, and product teams to understand data requirements and translate them into well-defined technical solutions.
• Apply data quality checks, validation rules, and monitoring; support the investigation and resolution of data issues and defects.
• Support optimization efforts by identifying inefficient queries or unnecessary data processing patterns.
• Create and maintain clear documentation for pipelines, data models, and business logic to support transparency, reuse, and operational support.
• Participate in code reviews, testing, and CI/CD processes to ensure engineering quality and consistency.
• Support production operations, including incident triage, root cause analysis, and corrective actions, in partnership with Data Ops.
• Assist in maintaining dashboards or alerts that surface data reliability issues before they impact consumers.
• Adhere to governance-by-design principles, implementation of data security and privacy controls, including role-based access, encryption standards, and data classification.
• Support the implementation of metadata management practices, including dataset descriptions, data lineage, and ownership information.
• Execute unit and integration tests for data pipelines to validate transformations, business rules, and expected outputs.
• Participate in sprint planning and backlog refinement, providing input on effort, dependencies, and technical considerations.

Conocimientos

SQL

Python

Cloud data services

Snowflake / MS Fabric

Data modeling

ETL / ELT concepts

BI tools usage

Agile / Scrum

English B2+

Educación

Bachelor's degree in Computer Science or related field

Herramientas

1–3 years of relevant data engineering experience

Descripción del empleo

Auxis seeks a Data Engineer (Associate) to design, build, and maintain data pipelines and analytics-ready datasets powering reporting, analytics, and data products. You will implement ingestion/transformation patterns, ensure data quality, and collaborate with analytics, data science, and business stakeholders to deliver trusted data assets.

You will work on on‑prem or cloud-native platforms, focusing on reliability, governance, and scalable engineering practices within an Agile environment.