Data Engineer İş İlanı
İşveren Hakkında
QUALIFICATIONS AND JOB DESCRIPTION
Are you ready to “Build the Future” with us?
We were established in 2012 to enlighten our customers’ path with the excitement of creating value in the technology world.
As we continue our way as an R&D center since 2017, we continue to be one of the new companies that value people, pursue new technologies with passion, and break grounds in the IT sector with our agile and reliable working culture, and we are looking for a "Data Engineer" for our Advanced Data Analytics Team.
You will be working collaboratively with Data Scientists and MLOp Engineers, designing and developing end-to-end batch prediction pipelines and contribute to automated ML pipelines. Deploying and dockerizing ml models as a service on python frameworks. Maintain integration of relational databases to Grafana dashboards in order to monitor ml model performances. Collaboration with other departments such as DevOps, System and Infrastructure, Network etc. and ensures reliability and efficiency of platforms, infrastructures and servers of Advanced Analytics Team.
REQUIRED
- BS Degree from Computer Engineering, Electrical and Electronics Engineering or a similar department
- Have minimum 3 years of professional experience in a similar engineering role
- Experience with relational databases such as MS SQL, Oracle, PostgreSQL
- Experience in building scalable and reliable data pipelines using (Airflow, Python, SQL, Bash)
- Proven record of gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, writing complex SQL queries, etc.)
- Experience in shell scripting, with a cross platform working experience between multiple Linux environments
- Professional Experience deploying ML models as a service and containerization (FastAPI, Docker)
- Deliver production grade clean and readable code through ensuring coding principles, additional docstrings etc. (git, version control, code reviews)
- Object Oriented Programming, Data Structures and Algorithms knowledge
- Familiarity with mainstream machine learning frameworks, particularly Scikit-Learn
- Familiarity in cloud-based storage systems (AWS S3, Azure Blob, GCP Bucket)
NICE TO HAVE
- Familiarity with non-relational databases such as ElasticSearch, MongoDB
- Building data pipelines using tools like PySpark or other distributed data processing frameworks
- Basic knowledge of ML model lifecycle and related management tools such as MLFlow or Kubeflow
- Experience on Amazon Web Services
- MSc Degree in a related field
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