Data Engineer
- Location
- Quito, Ecuador
- Employment Type
- Industry
- Job Family
- Technology
- Career Level
- Experienced
MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
We're seeking a Data Engineer in Quito - Ecuador to help us take vision to value and create lasting impact.
YOU WILL:
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Bachelor’s degree in Computer Science, Engineering, or a related field.
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5+ years of experience as a Data Engineer or similar role.
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Hands-on experience with Azure Data Factory for building and managing data pipelines.
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Proficiency in Power BI, with hands-on experience in creating dashboards, data models, and visual reports.
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Proficiency in Databricks for data transformation, analytics, and collaborative data science workflows.
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Strong expertise in SQL and data modeling for designing scalable and efficient data solutions.
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Expertise in cloud data warehousing solutions such as Snowflake (preferred) or BigQuery.
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Experience with DBT for data transformation, testing, and documentation.
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Experience integrating Azure services for scalable data solutions.
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Strong understanding of data lake architecture and ETL/ELT processes using Azure tools.
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Proficiency in programming languages such as Python.
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Familiarity with big data technologies (e.g., Spark).
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Solid understanding of data security, compliance, and governance principles.
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Experience with version control systems (e.g., Git) and CI/CD practices.
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Strong analytical, problem-solving, and communication skills.
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Proven ability to identify complex data challenges, evaluate options, and implement scalable and effective solutions.
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Ability to translate technical concepts into business value and effectively engage with both technical and non-technical stakeholders.
IDEALLY, WE’D LIKE:
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Experience with Azure and Microsoft Fabric, including data integration, pipeline creation, and working with cloud-based data architecture.
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Experience with containerization tools (e.g., Docker, Kubernetes).
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Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
Applicants must be authorized to work in Ecuador, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
Reference: 47992