375 Ofertas de Ingeniería de Datos en Colombia

Tendrás la oportunidad de liderar un equipo de ingeniería de datos, diseñando soluciones innovadoras y analíticas que impulsen la toma de decisiones estratégicas.

¿Qué harás en esta posición?

• Diseñar e implementar arquitecturas de datos escalables en AWS.
• Liderar un equipo de ingenieros, promoviendo su desarrollo profesional.
• Gestionar pipelines de datos, almacenamiento y herramientas de BI como Tableau y Power BI.
• Colaborar con equipos de desarrollo y producto para entender necesidades y traducirlas en soluciones.
• Implementar sistemas de monitoreo y garantizar la seguridad de los datos.
• 3+ años de experiencia en Big Data y 1+ año liderando equipos.
• Experiencia con herramientas de AWS como Redshift, Glue, Lambda y Kinesis.
• Conocimientos en modelado de datos, SQL y orquestación (Airflow).
• Familiaridad con CI/CD y contenedores.

Competencias deseadas:

• Capacidad de análisis y resolución de problemas.
• Proactividad, organización y habilidades de comunicación.

¿Qué recibirás por parte de ellos?

• Modelo de trabajo híbrido con contrato indefinido.
• Ambiente de innovación y aprendizaje continuo.
• Acceso a nuevas tecnologías y proyectos de impacto.

Envía tu CV y embárcate en este emocionante proceso que podría cambiarte la vida!

Buscamos un
Profesional Junior en Ingeniería de Sistemas o afines
con mínimo
1 año de experiencia
en desarrollo y análisis de datos. La persona participará en proyectos de ingestión, transformación y modelado de datos usando el ecosistema
Azure
y herramientas de
Python/Spark
.

Ideal para quienes quieren crecer en soluciones de Big Data y analítica.

Responsabilidades principales

• Diseñar, desarrollar y mantener
  pipelines de datos
  en
  Azure Data Factory
  y
  Azure Databricks
  .
• Implementar procesamiento con
  Spark
  y
  PySpark
  (batch/streaming).
• Integrar y orquestar cargas desde motores relacionales y no relacionales (Oracle, MySQL, PostgreSQL, SQL Server).
• Desarrollo y optimización de scripts en
  psql
  para automatización.
• Colaborar en modelado e ingestión en
  Synapse Analytics
  .
• Validación de calidad de datos, resolución de incidencias y documentación técnica.
• Soporte a equipos de BI y entrega de datasets para visualización (
  Power BI
  ).
• Trabajo colaborativo con analistas, científicos de datos y arquitectos.

Requisitos indispensables

• Estudiante de último semestre o Título profesional en Ingeniería de Sistemas, Ingeniería de Software, Matemáticas, Estadística o afines.
• Mínimo 1 año de experiencia práctica en:
• Azure Databricks
• Synapse Analytics
• Azure Data Factory
• Python, Spark, PySpark
• Experiencia mínima de 1 año como Ingeniero de Datos realizando análisis y desarrollo.
• Conocimiento y experiencia en bases de datos: Oracle, MySQL, Postgres, SQL Server.
• Manejo de psql para scripts de automatización.
• Buenas habilidades de comunicación y trabajo en equipo.

Competencias y habilidades blandas

• Pensamiento analítico y orientación a la calidad de datos.
• Proactividad y aprendizaje continuo.
• Organización, priorización y manejo de presión.
• Comunicación clara y trabajo colaborativo.

Modalidad y ubicación

• Ubicación:
  Bogotá, Colombia

• Modalidad:
  Híbrido
  

• Contrato indefinido

• Prestaciones de ley y beneficios corporativos.
• Oportunidades de formación y certificación en
  Azure
  .
• Plan de bienestar y desarrollo profesional.

***Full English proficiency required***

Proxima is an American company with offices in Latin America that provides IT and operational services to the insurance industry. We are part of a major financial group, together with our sister company, Producers National Corp (PNC).

As a Data Engineer, you will design, develop, and support data transitions for our Enterprise Data Warehouse (EDW), including building data pipelines. You will manage the secure organization and distribution of data internally and externally to business units, partners, and compliance entities. Your role also includes performance tuning of SQL jobs, reports, and code to ensure efficiency and security.

We are seeking a detail-oriented individual who can bridge our toolset with quality standards, improving system efficiency and usability for employees, clients, and agencies. This fast-paced, dynamic role involves tackling projects with a goal-oriented mindset, automating recurring issues, and implementing essential data quality and security controls to optimize the overall experience for the Producers National group.

Job Responsibilities:

• Assess and develop data feeds across to enhance automation, security, and data quality.
• Design and develop ETL solutions for the enterprise data warehouse.
• Serve as knowledgeable proponent for data engineering and re-engineering solutions.
• Develop and maintain data governance practices and policies related to data distribution and architecture.
• Automate processes for data extraction, transformation, and loading, ensuring data integrity and accuracy.
• Create and maintain comprehensive documentation of data processes, architectures, and solutions.
• Conduct system audits to ensure compliance with data governance and security standards.
• Monitor and troubleshoot data pipelines, resolving issues or escalating them to appropriate vendors as necessary.
• Effectively manage multiple tasks and projects simultaneously.
• Exhibit excellent verbal and written communication skills, interacting professionally with various subject matter experts.
• If applicable, monitor and track backend jobs and interfaces to ensure efficient operations.
• Provide after-hours "on-call" support to troubleshoot and resolve system issues.

Required Skills:

• 3+ years of experience in a data and analytics team.
• Demonstrated experience with Microsoft SQL stack, including SQL, SSIS, SSRS, and Power BI.
• Exceptional communication capabilities.
• Proficiency in SQL, with a preference for MS SQL.
• Strong skills in Excel.
• Excellent problem-solving and analytical abilities.
• Bachelor's degree, preferably in an IT-related field.
• Strong customer service skills for both internal and external stakeholders.
• Effective communication and teamwork skills.
• Ability to apply mathematical concepts in data analysis.
• Aptitude for navigating challenges to find efficient and effective solutions.
• Familiarity with SCRUM methodology in project management.
• Experience using the Jira ticketing system.

Good-to-Haves:

• Knowledge of the GoAnywhere toolset.
• Understanding of data warehousing and software development life cycles.
• Experience in the insurance industry.

Benefits:

• Starting salary US $2,500/mo, plus benefits
• Growth opportunities in an international organization
• 100% remote work.

***Full English proficiency required***

Proxima is an American company with offices in Latin America that provides IT and operational services to the insurance industry. We are part of a major financial group, together with our sister company, Producers National Corp (PNC).

As a Data Engineer, you will design, develop, and support data transitions for our Enterprise Data Warehouse (EDW), including building data pipelines. You will manage the secure organization and distribution of data internally and externally to business units, partners, and compliance entities. Your role also includes performance tuning of SQL jobs, reports, and code to ensure efficiency and security.

We are seeking a detail-oriented individual who can bridge our toolset with quality standards, improving system efficiency and usability for employees, clients, and agencies. This fast-paced, dynamic role involves tackling projects with a goal-oriented mindset, automating recurring issues, and implementing essential data quality and security controls to optimize the overall experience for the Producers National group.

Job Responsibilities:

• Assess and develop data feeds across to enhance automation, security, and data quality.
• Design and develop ETL solutions for the enterprise data warehouse.
• Serve as knowledgeable proponent for data engineering and re-engineering solutions.
• Develop and maintain data governance practices and policies related to data distribution and architecture.
• Automate processes for data extraction, transformation, and loading, ensuring data integrity and accuracy.
• Create and maintain comprehensive documentation of data processes, architectures, and solutions.
• Conduct system audits to ensure compliance with data governance and security standards.
• Monitor and troubleshoot data pipelines, resolving issues or escalating them to appropriate vendors as necessary.
• Effectively manage multiple tasks and projects simultaneously.
• Exhibit excellent verbal and written communication skills, interacting professionally with various subject matter experts.
• If applicable, monitor and track backend jobs and interfaces to ensure efficient operations.
• Provide after-hours "on-call" support to troubleshoot and resolve system issues.

Required Skills:

• 3+ years of experience in a data and analytics team.
• Demonstrated experience with Microsoft SQL stack, including SQL, SSIS, SSRS, and Power BI.
• Exceptional communication capabilities.
• Proficiency in SQL, with a preference for MS SQL.
• Strong skills in Excel.
• Excellent problem-solving and analytical abilities.
• Bachelor's degree, preferably in an IT-related field.
• Strong customer service skills for both internal and external stakeholders.
• Effective communication and teamwork skills.
• Ability to apply mathematical concepts in data analysis.
• Aptitude for navigating challenges to find efficient and effective solutions.
• Familiarity with SCRUM methodology in project management.
• Experience using the Jira ticketing system.

Good-to-Haves:

• Knowledge of the GoAnywhere toolset.
• Understanding of data warehousing and software development life cycles.
• Experience in the insurance industry.

Benefits:

• Starting salary US $2,500/mo, plus benefits
• Growth opportunities in an international organization
• 100% remote work.

If interested, please email your resume in English to

We are seeking a motivated Middle Data Warehouse Engineer to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines that drive our business intelligence and analytics.

• Design, develop, and maintain ETL (Extract, Transform, Load) processes to move data from various sources to our data warehouse.
• Write and optimize complex queries and scripts using PL/SQL and Oracle to transform and load data.
• Automate and orchestrate data workflows using shell scripting (Unix/korn shell).
• Utilize AWS CLI for tasks such as managing data in S3 or interacting with other AWS services.
• Debug and troubleshoot data pipeline issues to ensure data accuracy and availability for downstream consumers.
• Collaborate with stakeholders and team members to understand data requirements and deliver reliable solutions.

• At least 2 years of experience in this or a similar role.
• Intermediate proficiency with Oracle and PL/SQL.
• Experience with ETL processes and data pipeline development.
• Familiarity with shell scripting (Unix) and basic command-line debugging.
• Working knowledge of AWS CLI.
• A solid understanding of data warehousing concepts.
• Strong problem-solving skills and the ability to learn from technical documentation and training materials.
• Upper-Intermediate conversacional English level is required.

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• Not applicable for freelancers

• Not Applicable

• Full-time

• Software Development

• Software Development

We are seeking a motivated Middle Data Warehouse Engineer to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines that drive our business intelligence and analytics.

• Design, develop, and maintain ETL (Extract, Transform, Load) processes to move data from various sources to our data warehouse.
• Write and optimize complex queries and scripts using PL/SQL and Oracle to transform and load data.
• Automate and orchestrate data workflows using shell scripting (Unix/korn shell).
• Utilize AWS CLI for tasks such as managing data in S3 or interacting with other AWS services.
• Debug and troubleshoot data pipeline issues to ensure data accuracy and availability for downstream consumers.
• Collaborate with stakeholders and team members to understand data requirements and deliver reliable solutions.

• At least 2 years of experience in this or a similar role.
• Intermediate proficiency with Oracle and PL/SQL.
• Experience with ETL processes and data pipeline development.
• Familiarity with shell scripting (Unix) and basic command-line debugging.
• Working knowledge of AWS CLI.
• A solid understanding of data warehousing concepts.
• Strong problem-solving skills and the ability to learn from technical documentation and training materials.
• Upper-Intermediate conversacional English level is required.

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• Not applicable for freelancers

• Not Applicable

• Full-time

• Software Development

• Software Development

We are seeking a motivated Middle Data Warehouse Engineer to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines that drive our business intelligence and analytics.

• Design, develop, and maintain ETL (Extract, Transform, Load) processes to move data from various sources to our data warehouse.
• Write and optimize complex queries and scripts using PL/SQL and Oracle to transform and load data.
• Automate and orchestrate data workflows using shell scripting (Unix/korn shell).
• Utilize AWS CLI for tasks such as managing data in S3 or interacting with other AWS services.
• Debug and troubleshoot data pipeline issues to ensure data accuracy and availability for downstream consumers.
• Collaborate with stakeholders and team members to understand data requirements and deliver reliable solutions.

• At least 2 years of experience in this or a similar role.
• Intermediate proficiency with Oracle and PL/SQL.
• Experience with ETL processes and data pipeline development.
• Familiarity with shell scripting (Unix) and basic command-line debugging.
• Working knowledge of AWS CLI.
• A solid understanding of data warehousing concepts.
• Strong problem-solving skills and the ability to learn from technical documentation and training materials.
• Upper-Intermediate conversacional English level is required.

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• Not applicable for freelancers

• Not Applicable

• Full-time

• Software Development

• Software Development

We are seeking a motivated Middle Data Warehouse Engineer to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines that drive our business intelligence and analytics.

• Design, develop, and maintain ETL (Extract, Transform, Load) processes to move data from various sources to our data warehouse.
• Write and optimize complex queries and scripts using PL/SQL and Oracle to transform and load data.
• Automate and orchestrate data workflows using shell scripting (Unix/korn shell).
• Utilize AWS CLI for tasks such as managing data in S3 or interacting with other AWS services.
• Debug and troubleshoot data pipeline issues to ensure data accuracy and availability for downstream consumers.
• Collaborate with stakeholders and team members to understand data requirements and deliver reliable solutions.

• At least 2 years of experience in this or a similar role.
• Intermediate proficiency with Oracle and PL/SQL.
• Experience with ETL processes and data pipeline development.
• Familiarity with shell scripting (Unix) and basic command-line debugging.
• Working knowledge of AWS CLI.
• A solid understanding of data warehousing concepts.
• Strong problem-solving skills and the ability to learn from technical documentation and training materials.
• Upper-Intermediate conversacional English level is required.

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• Not applicable for freelancers

• Not Applicable

• Full-time

• Software Development

• Software Development

We are seeking a motivated Middle Data Warehouse Engineer to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines that drive our business intelligence and analytics.

• Design, develop, and maintain ETL (Extract, Transform, Load) processes to move data from various sources to our data warehouse.
• Write and optimize complex queries and scripts using PL/SQL and Oracle to transform and load data.
• Automate and orchestrate data workflows using shell scripting (Unix/korn shell).
• Utilize AWS CLI for tasks such as managing data in S3 or interacting with other AWS services.
• Debug and troubleshoot data pipeline issues to ensure data accuracy and availability for downstream consumers.
• Collaborate with stakeholders and team members to understand data requirements and deliver reliable solutions.

• At least 2 years of experience in this or a similar role.
• Intermediate proficiency with Oracle and PL/SQL.
• Experience with ETL processes and data pipeline development.
• Familiarity with shell scripting (Unix) and basic command-line debugging.
• Working knowledge of AWS CLI.
• A solid understanding of data warehousing concepts.
• Strong problem-solving skills and the ability to learn from technical documentation and training materials.
• Upper-Intermediate conversacional English level is required.

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• Not applicable for freelancers

• Not Applicable

• Full-time

• Software Development

• Software Development