Senior Data Engineer
New
Z
ZartisLogistics Technology
LATAMFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- SQLBusiness IntelligenceETLData engineeringData modelingDatabricks
Requirements
- Strong commercial experience in Data Engineering.
- Proven experience designing and building modern data pipelines and ETL/ELT solutions.
- Experience working with data warehouses or modern lakehouse architectures.
- Strong SQL skills and experience modeling large datasets.
- Experience with cloud-based data platforms, ideally Databricks.
- Experience building or evolving data platforms from the ground up.
- Strong understanding of data modeling, data quality, governance, and data architecture best practices.
- Ability to work directly with business stakeholders to translate business problems into scalable data solutions.
- Experience enabling Business Intelligence through clean, well-structured, analytics-ready datasets.
- Experience preparing data for advanced analytics and machine learning use cases.
- Strong analytical mindset with the ability to identify opportunities through data and recommend improvements to data collection.
Responsibilities
- Design, build, and maintain scalable data pipelines to ingest, transform, and process operational data.
- Develop modern ETL/ELT workflows that deliver reliable, high-quality datasets.
- Help design a scalable data warehouse/lakehouse architecture using modern cloud technologies.
- Work closely with business stakeholders to understand reporting and analytics requirements.
- Improve data quality, consistency, governance, and documentation across the platform.
- Identify gaps in existing data collection and recommend improvements to tracking and data models.
- Enable self-service analytics by delivering clean, well-structured datasets for downstream BI tools.
- Prepare data models that support advanced analytics, machine learning, and customer-facing insights.
- Contribute to establishing data engineering best practices, standards, and scalable architecture.
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