Senior Data Engineer
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Job Description
Senior Data Engineer at Kreate transforming data into scalable, reliable platforms for analytics and machine learning. Bridging ML experimentation and production deployment to empower decision-making.
Responsibilities:
- Deliver production-ready datasets and pipelines to support data science and analytics.
- Bridge the gap between ML experimentation and deployment with MLOps best practices.
- Build and deploy data-driven applications using Azure services.
- Maximize ROI on Azure investment through cloud-native architecture.
- Standardize development workflows using GitHub (version control, pull requests, CI/CD).
- Automate deployments and accelerate engineering velocity with GitHub Actions.
- Reduce bottlenecks for analysts, engineers, and data scientists by improving data accessibility and workflow efficiency.
- Enhance data quality, governance, and observability.
- Enable future capabilities such as AI, automation, and personalization.
Requirements:
- 5+ years of experience in data engineering or related roles.
- Proven experience in data engineering, cloud architecture, and MLOps.
- Strong proficiency in Python and SQL for data pipelines, automation, and data framework (Spark, Panda).
- Familiarity with REST APIs and application development concepts.
- Strong knowledge of Azure services (Data Factory, Synapse, Databricks, etc.) and cloud-native solutions.
- Proficiency with GitHub, including version control, CI/CD, and automation using GitHub Actions, workflows, and PR reviews.
- Experience delivering production-ready datasets and pipelines for analytics and ML.
- Ability to collaborate effectively with data scientists, analysts, and engineers to prepare and deliver clean, feature-ready datasets.
- Knowledge with data governance, observability, and quality best practices is preferred.
- Experience with real-time streaming tools (Kafka, Event Hub) also preferred.
- Strong problem-solving skills and a passion for building scalable, maintainable, and automated data platforms.
- Experience with Microsoft Fabric of Lakehouse architectures is a nice-to-have.
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