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dHired
English

Data Engineering

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Must-have:
  • Proven commercial experience as a Python developer (3+ years).
  • Understanding of the threading, and multi-process architecture.
  • Ability to work with ORM (Object Relational Mapper) libraries.
  • Strong design skills: you must be able to describe your designs before implementation (even use UML if needed).
  • Able to build highly scalable distributed applications.
  • General understanding (preferably, some experience too) of front-end technologies, such as JavaScript/Vue.JS, HTML5, and CSS3.
  • Knowledge of user authentication and authorization between multiple systems, servers, and environments.
  • Understanding of fundamental OOP designs.
  • Ability to design database schemes that represent and support business processes.
  • Test Driven Development (TDD) and Continuous Delivery.
  • At least upper-intermediate English level.

Must-have:
  • 3+ years of experience in designing database models and working with SQL and NoSQL databases such as Redshift, Snowflake, Elastichsearch, Presto, Spark.
  • 3+ of writing ETLs in OOP languages such as Python or Java.
  • Good knowledge in at least one orchestration platform such as Luigi, Airflow, Azkaban, Oozie, or others.
  • Mastering SQL including complex queries
  • Solid knowledge of container orchestration tools Kubernetes, Docker, and cloud platforms.
  • Ability to rapidly learn new technologies and use them in production.
  • Getting things done - solve problems in a creative way with a startup mentality to empower fellow engineers.

Must-have:
  • Able to code in Scala.
  • Understanding ELT design, implementation and maintenance.
  • Able to communicate complex concepts clearly and accurately.
  • Willingness to learn new technologies, tools and approaches to problem-solving.
  • Responsible for own work and able to solve problems independently.

Must-have:
  • 4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
  • Deep knowledge of statistics, probability theory and ML.
  • Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
  • Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).

Must-have:
  • General knowledge of SQL.
  • Advanced proficiency in Python programming language.
  • Strong background in math, linear algebra and statistics. Solid knowledge of algorithms, data structures and algorithmic complexity.
  • Expertise in machine learning. Proven hands-on experience and familiarity with theoretical concepts of common machine learning methods and algorithms.
  • Familiarity with Python numerical operations, data structures, machine learning and visualization libraries: numpy, pandas, sklearn, matplotlib, jupyter.
  • Solid understanding of model tuning and evaluation, ability to implement complete machine learning pipelines.
  • Theoretical knowledge and experience at least in one of the areas: Natural Language Processing, Computer Vision, Deep Learning, Look-alike Modeling, Recommendation Systems, Anomaly Detection.
  • Problem-solving skills, ability to do research tasks.
  • Ability to work with different data types and formats. Data preprocessing, cleaning, feature design and generation skills.
  • Ability to document properly systems functionality, code and methodology
  • Good presentational and visualization skills. Ability to describe and present results clearly, answer questions and communicate issues.
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