Data Engineer
Employment Info
JOB DETAILS
Requirements
- Strong expertise in the AWS ecosystem.
- Advanced SQL capabilities and experience with modern data engineering practices.
- Experience with Python, continuous integration and continuous delivery implementation, Databricks, MLOps concepts, and reporting tools such as Power BI or Tableau.
- Ability to collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver data solutions supporting analytics, reporting, and machine learning initiatives.
Responsibilities
- Design, build, and optimize scalable data pipelines and extract, transform, and load or extract, load, and transform processes using AWS services.
- Develop and maintain data models, data warehouses, and lakehouse architectures.
- Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
- Build and automate deployment processes using continuous integration and continuous delivery best practices, preferably with GitHub and GitHub Actions.
- Develop data processing solutions using Python or Java.
- Work with Databricks to process large-scale datasets and support advanced analytics workloads.
- Collaborate with data science teams to support machine learning workflows and MLOps practices.
- Monitor, maintain, and improve data quality, reliability, and performance.
- Create and support reporting solutions using Power BI, Tableau, or other business intelligence platforms.
- Implement data governance, security, and compliance standards across data platforms.
- Participate in architecture discussions and provide recommendations for scalable cloud-based data solutions.
Desired Qualifications
- Python is preferred over Java for data processing solutions.
- Experience with GitHub and GitHub Actions is preferred.
Are you interested in this position?
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