Data Engineer (Ingeniero de Datos)
HybridBogotá, Bogota D.C., Colombia
Bogotá, Bogota D.C., ColombiaHybridFull TimeSenior LevelBachelors DegreeMedium
Full TimeSenior LevelBachelors DegreeMedium
Job Summary
Develop and optimize high-volume ETL/ELT pipelines within the Data Experience Platform to ensure efficient data ingestion, transformation, and loading. Lead data architecture by designing robust models, implementing serverless integrations via APIs and SFTP, and automating incremental and full-history loads. Build interactive dashboards in Power BI and Domo to deliver real-time business insights, while collaborating closely with analytics teams to define KPIs and metrics. Supervise junior engineers, document scalable solutions, and drive innovation through AI, DataOps, and CI/CD initiatives. Manage project timelines and deliverables on schedule.
Required Qualifications
- Senior Data Engineer
- Bilingual
- Highly motivated
- Responsible for building and maintaining data architecture
- Integrating data from multiple sources
- Creating interactive dashboards
- Obtaining real-time insights
- Creating architecture, construction, and optimization of enterprise-scale data pipelines
- Experience developing technologies with cloud preferably Azure or Domo
- Collaborating closely with data analysts team
- Building robust architectures
- API connections
- Data visualization
- Business intelligence solutions
- Developing, maintaining, and optimizing high-volume ETL/ELT pipelines
- Data ingestion, transformation, and efficient loading
- Ensuring efficiency and reliability
- Leading data architecture
- Good modeling practices
- Partitioning
- Versioning
- Orchestration
- Implementing data integrations via APIs, cloud connectors, SFTP, and serverless services
- Building and developing high-impact dashboards using Power BI, DOMO, and others
- Collaborating closely with analytics and data science teams
- Understanding technical needs in data engineering and visualization
- Automating processes
- Optimizing incremental, full history, and distributed processing
- Proposing and leading innovation initiatives using AI, DataOps, CI/CD, and automations
- Proposing and designing new analyses, KPIs, and metrics based on deep business knowledge
- Managing and fulfilling assigned projects and challenges
- Ensuring project completion within established deadlines
- Impulsing innovation and automation of processes using data analysis tools and AI like OpenAI
- Supervising and guiding junior or intermediate data engineers
- Documenting solutions, flows, models, and processes
- +4 years of experience as a data engineer
- Knowledge and experience in handling Azure Data Platform: Data Factory, Data Lake, Synapse, Databricks
- Experience developing robust pipelines in ETL/ELT
- Experience developing in Python oriented to data engineering (pandas, pySpark, Big data optimization)
- Experience integrating data via REST APIs, Webhooks, JSON, SFTP
- Deep understanding of database logic and its properties
- Understanding of data storage concepts, data modeling, and query optimization
- Experience in structuring databases, for example, in SQL Server and MySQL
- Domain of DAX measures
- Knowledge in low-code tools focused on performing ETL processes with AI, data visualization, and descriptive analysis
- Experience in Data Science projects that have quantitatively impacted the business
- Analytical skills, high curiosity for data, achievement-oriented, proactive, and team player
- Commitment to data quality and its management
- Intermediate-Advanced English (B2+)
- Power BI (indispensable)
- Looker Studio or Tableau
Desired Qualifications
- Domo (desirable)
- Knowledge or experience with DOMO Data Experience Platform
- Knowledge and experience in handling databases in environments like AWS
- Experience with visualization tools like Tableau and Qlik
- Intermediate English
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