Data Engineer - Machine Learning on Azure
Building Data Highways: Data Engineer Position Available!
There's no secret to become number-one, it takes willingness to improve and determination to pursue it. At GRiT®, it's all about the journey getting there. We trust talent and intelligence are important, yet passion and perseverance are key to achieving any goal.
We are Tech Passionate People with a Purpose, delivering solutions while building strong long-term relations.
Recognizing each person's unique contribution to our collective success, we embrace inclusion and diversity, committed to creating a respectful and socially responsible environment.
People. Technology. Innovation. All-around it.
Are you GRiTTY enough to be part of our journey? Take the first step by applying now and let's create our future together.
Job Description: Design and upkeep of ETL/ELT pipelines on Azure Databricks, with PySpark and Azure Data Factory, across Data Lakehouse architectures. Preparation of datasets for Machine Learning, plus hands-on support for training, assessment and productionization of classification, regression, clustering and time series forecasting models. Close work with business and technical teams, bringing models into production workflows.
Must-Have:
- 2 to 3 years of experience in data engineering.
- Hands-on Azure Databricks, Python, SQL and PySpark.
- Azure Data Lake Storage experience, including Parquet and Delta Lake.
- Full data lifecycle ownership, from ingestion and transformation through modeling to delivery.
- Classical Machine Learning: libraries, feature engineering, model training, validation and evaluation.
- Sound command of overfitting, data leakage, train/test split and cross-validation.
- Batch scoring and model integration into data pipelines.
- Git and solid engineering practices, with scalable solutions mindful of performance and cost.
- Proactivity, analytical thinking and business-facing communication, including conversion of requirements into technical solutions.
- Portuguese language.
Would be great if you have:
- Azure Machine Learning exposure: training jobs, pipelines, model registry and inference endpoints.
- Working knowledge of Azure Data Factory.
- Model monitoring, data drift detection and retraining routines.
- Delivery of models through APIs or online endpoints.
- Familiarity with Unity Catalog, data governance and access management.
- Agile ways of working, namely Scrum, with Jira and Confluence.
What's in it for you:
- Continuous Training and Certifications
- GRiT Prizes: GRiT Baby Gift, GRiT Birthday Prize, GRiT Recommendation Prize
- Exclusive Partnerships/Discounts: (Gym, Health, Well-being, Lifestyle, Financial, etc…)
- Unique Events
- Welcoming Office (Fruit, Coffee, Pool Table, etc.)
- Competitive Compensation
- Pay for Performance
#TechWithPassion - Fuel your fire, join our tech tribe!
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