Senior Big Data Engineer for Data Lake Development
5 days ago
We are seeking a seasoned Senior Big Data Engineer to spearhead the development of our brand-new data lake project from the ground up. As a key member of our team, you will be responsible for designing, implementing, and maintaining a scalable and secure data processing architecture using Databricks.
About the Role:
- You will collaborate with a rapidly growing team of data engineers and scientists to drive innovation in big data and machine learning projects.
- Develop a program for processing large volumes of data, leveraging your expertise in cloud computing, Python, Kubeflow, GitHub Actions, Azure, and other relevant tools.
- Work on projects focused on processing and analyzing TV channel viewership data, supporting data science teams, building and maintaining a machine learning environment, and creating CI/CD pipelines.
- Design and implement a platform to trigger ML jobs in an auto-scalable manner, handling multiple parallel processes and diverse cloud computing services.
- Develop a web application for data science teams and create a tool for launching analyses that automates tasks typically performed by data analysts and data scientists.
Requirements:
- Analyzing data, machine learning, cloud computing, Python, Kubeflow, GitHub Actions, Azure, data science, Flask, FastAPI, Azure Databricks, Kubernetes, Docker, Spark, Airflow, Terraform, SQL, and Databricks.
What We Offer:
- A competitive salary range of $120,000 - $180,000 per year, depending on experience.
- A flexible remote work model with sport subscription, training budget, private healthcare, flat structure, small teams, international projects, free coffee, bike parking, in-house trainings, in-house hack days, modern office, startup atmosphere, and no dress code.
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