Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Senior Data Engineer at Trafilea, building and maintaining data pipelines for data-driven strategies. Focused on data architecture and ensuring cost-effective data processes.
Responsibilities
- Analysis, Design, implementation, and maintenance pipelines that produce business-critical data reliably and efficiently using cloud technologies.
- Develop new ETLs (Extract, Transform, Load), using the current Apache Airflow .
- Propose new initiatives to improve performance, scalability, reliability, and overall robustness.
- Collect, process, and clean data from different sources using Python & SQL.
- Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects.
- Assess and communicate effectively the effort for required developments.
- Discover new data sources to improve new and existing data pipelines.
- Be in charge of building and maintaining data pipelines and data models for new and existing projects.
- Maintain detailed documentation of your work and changes to support data quality and governance.
- Provide feedback and expert points of view as needed to help all data initiatives in the company.
- Improve the quality of existing and new data processes (ETL), incorporating statistical process control, and creating alerts when anomalies are received from data sources at every step of the pipeline.
- Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.
Requirements
- 5+ years of experience as a Data Engineer, ML Engineer, or similar.
- 5+ years of experience using Python object-oriented programming and scripting.
- Strong experience creating data pipelines and ETL processes in modern technologies using Apache Airflow as the main workflow management tool.
- 3+ years of experience with the AWS data ecosystem (S3, Glue, Athena, Redshift, Lambda, EC2, RDS ...)
- Experience with large-scale data and query optimization techniques using SQL.
- Experience managing and monitoring data lakes systems.
- Strong experience using source control management and CI/CD (GitHub actions/Gitlab pipelines).
- Nice to have: Experience with containerized (Docker, Kubernetes) environments in AWS using EKS/ECS and ECR.
- Knowledge and hands-on on cloud stream-processing systems.
- Hand-on IAC solutions like Terraform or CloudFormation.
Benefits
- Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.
- Opportunity to grow and develop both professionally and personally.
- Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.
- Openness to new ideas and initiatives.
- Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more!
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