Decision Point LATAM

Data Engineer en Decision Point LATAM

FULL_TIME

Santiago   Ciudad de México
Se trabaja íntegramente de manera presencial en: Santiago Ciudad de México
(Presencial)
| Semi Senior | Full time | Data Science / Analytics

14 postulaciones
Revisado por última vez ayer
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Decision Point offers an entrepreneurial environment and exposure to advanced analytics in the domain of sales and marketing. The team at Decision Point is very young, energetic, and highly skilled. Our team consists of talented business consultants, data scientists and engineers who are passionate about implementing analytics in real world business problems.

A career at Decision Point is rich in global experience and offers opportunities to build lasting relationships.

Job functions

  • Data Infrastructure Development: Design, build, and maintain scalable data infrastructure on Azure / AWS / GCP using PySpark for data processing to support various data initiatives and analytics needs within the organization
  • Data Pipeline Implementation: Design, develop and maintain scalable data pipelines to ingest, transform, and load data from various sources into cloud-based storage and analytics platforms using Python, PySpark, and SQL
  • Performance Optimization: - Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness, leveraging PySpark's capabilities. - Implement data quality checks and monitoring to ensure the reliability and integrity of data pipelines.
  • Build and optimize data warehouse solutions for efficient storage and retrieval of large volumes of structured and unstructured data.

Qualifications and requirements

  • Data Governance and Security: Implement data governance policies and security controls to ensure compliance and protect sensitive information across Azure, AWS and GCP environments.
  • Collaboration and Support: Collaborate with cross-functional teams to understand data requirements and provide technical support for data-related initiatives and projects.
  • +1 year of experience as Data Engineer
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts
  • Experience in SQL language and sound knowledge of Database administration like: Managing MySQL Server, MS SQL Server
  • Proficiency in Python related to Data Science (Pyspark) for developing data pipelines, ETL (Extract, Transform, Load) processes, and automation scripts.
  • English

Desirable skills

  • Proficiency in Microsoft Excel and hands-on experience on Excel VBA
  • Experience working with cloud platforms for deploying and managing scalable data infrastructure is a plus (Azure, GCP, AWS)
  • Experience working with Linux
  • Familiarity with working with numerous large data sets
  • Comfort in a fast-paced environment
  • Strong analytical skills with the ability to collect, organize, analyses, and disseminate significant amounts of information with attention to detail and accuracy
  • Excellent problem-solving skills
  • Strong interpersonal and communication skills for cross-functional teams
  • Proactive approach to continuous learning and skill development

Conditions

  • Hybrid 4x1 in CL and 3x2 in MX from the fourth month (4 days a week in office and 1 from home, in Mexico 3 days a week in office and 2 from home)
  • Lunch and Healthy Snacks (CL)
  • Complementary Health Insurance (CL)
  • 2 Days free per quarter of the year
  • 5 extra days of vacation

Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.
Teletrabajo opcional Algunos días puedes trabajarlos desde tu casa.
Cobertura de salud Decision Point LATAM paga o copaga cobertura de salud adicional a lo legal.
Computadora Decision Point LATAM proporciona una computadora para tu trabajo.
Vacaciones extra Decision Point LATAM otorga vacaciones pagadas adicionales al mínimo legal.
Bebidas y snacks Decision Point LATAM ofrece algunas bebidas y snacks de libre disposición en la oficina.

Acerca de Decision Point LATAM

Decision Point LATAM is a fast-growing Consumer Products Analytics & Consulting Company, with business partners featuring in global fortune 500 list.  Development as a Subject Matter Expert in FMCG sales & marketing analytics domain. — Perfil completo de Decision Point LATAM

Data Engineer
Decision Point LATAM • Santiago   Ciudad de México
Se trabaja íntegramente de manera presencial en: Santiago Ciudad de México
(Presencial)
Postula
Requiere postular en Inglés
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