FT
FCamara Consulting & TrainingData Engineer – AWS Stack
Data Engineer building solutions on AWS for high - performance data processing. Leading initiatives in data architecture and analytics for operational support.
About the role
- Design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and data science initiatives
- Develop and automate robust workflows for data ingestion, transformation, and delivery using orchestration tools and CI/CD pipelines
- Leverage cloud platforms (Azure preferred) and technologies (Databricks, Azure Data Factory) to manage big data environments and enable advanced analytics
- Participate in code reviews (PRs), enforce coding standards, and collaborate with cross-functional teams to ensure maintainable, high-quality solutions
- Implement monitoring and observability for data pipelines, proactively identifying and resolving issues in production environments
- Ensure data integrity, security, and compliance by applying best practices in data governance, quality management, and documentation
- Work closely with business partners to understand requirements, deliver custom data solutions, and provide training and support for end users
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred)
- 2-3 years of relevant experience, or a Master’s degree in a related field
- Strong proficiency with SQL, Python, and PySpark for data engineering tasks
- Hands-on experience with cloud computing technologies for big data (Azure preferred), including Databricks and Azure Data Factory
- Experience building and maintaining production-grade data pipelines, including monitoring and troubleshooting in live environments
- Proficiency in using Git for version control and collaboration; experience participating in code reviews (PRs) and enforcing code quality standards
- Experience working in an Agile environment, with knowledge of Agile methodologies and practices
- Hands-on experience with CI/CD pipelines for automating data pipeline deployment and testing
- Deep understanding and experience with Azure’s cloud architecture, services, and management tools
- Knowledge of MLOps best practices, including deployment, monitoring, and maintenance of machine learning models
- Experience participating in code reviews and collaborative development processes
- Experience with building automated pipelines for data workflow deployment and monitoring in Azure Databricks
- Experience supporting data-driven business transformation and data governance initiatives
Benefits
- Numerous development opportunities offered to build your skills
- Be part of a company with a higher purpose and contribute to making the world a better place
- Health benefits for you and your family on your first day of employment
- Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
- Excellent parental leave which includes a minimum of 16 weeks for mother and father
- Future planning with our competitive retirement savings plan and tuition reimbursement program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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