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senior data software engineer

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Data Software Engineering, Apache Spark, Microsoft Azure, Python, Forecasting Models, Data Science, MLOps, Databricks

We are seeking a Senior Data Software Engineer to join our team in building a data integration solution. The Senior Data Software Engineer will take responsibility for the development and execution of the data engineering strategy, working closely with data scientists and other stakeholders to ensure that data is transformed into valuable insights. The ideal candidate will have a strong background in data engineering, machine learning, and software development.

responsibilities
  • Collaborate with data scientists to build and deploy machine learning models in production
  • Design and develop data pipelines, data processing systems, and APIs for data integration and analysis
  • Optimize data pipelines for performance and scalability
  • Ensure data quality, accuracy, and consistency through data validation and testing
  • Develop and implement MLOps processes to monitor and maintain machine learning models
  • Work with stakeholders to understand data requirements and provide solutions to meet their needs
  • Design and implement data security and privacy measures to protect sensitive data
  • Stay up-to-date with emerging trends and technologies in data engineering and machine learning
  • Provide technical guidance and mentorship to junior team members
requirements
  • Minimum 3+ years of experience in data engineering or software development roles
  • Proficiency in Apache Spark, Microsoft Azure, and Databricks for data processing and management
  • Expertise in Python programming language and associated data science libraries such as Pandas and NumPy
  • Experience in building forecasting models, statistical models, and machine learning models
  • Strong knowledge of MLOps and deploying machine learning models in production
  • Experience with Git for version control and team collaboration
  • Good understanding of Azure concepts such as clouds, regions, and compute
  • Ability to work in a fast-paced environment and deliver results under tight deadlines
  • Excellent English communication skills, both written and verbal, for effective global collaboration (B2+)
nice to have
  • Experience with SQL and relational databases for data management
  • Familiarity with cloud-based data warehousing solutions such as Azure Data Lake Storage (ADLS)
  • Knowledge of other machine learning tools and platforms such as TensorFlow and PyTorch
  • Experience with data visualization tools such as Tableau and Power BI

benefits for locations

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For you
  • Discounts on health insurance, sport clubs, shopping centers, cinema tickets, etc.
  • Stable income
  • Flexible roles
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For your comfortable work
  • 100% remote work forever
  • EPAM hardware
  • EPAM software licenses
  • Access to offices and co-workings
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
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For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Language courses
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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