Senior Data Software Engineer
Data Software Engineering
& 7 others
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We are looking for a remote Senior Data Software Engineer to join our team.
This role requires an experienced professional with strong expertise in Apache Spark, Microsoft Azure, and Python. You will be contributing to a high-profile project for a globally recognized brand, developing advanced data solutions that drive business success and innovation.
Responsibilities
- Collaborate with cross-functional teams to design, develop, and maintain data integration solutions
- Create and optimize data pipelines using Apache Spark, Microsoft Azure, and Python
- Ensure data pipelines are robust, scalable, and easy to maintain
- Transform data science models into production-ready systems
- Build and manage forecasting models to support critical business decisions
- Ensure consistent data quality and integrity across all sources
- Monitor and refine data pipelines to improve performance and efficiency
- Partner with data scientists to design and deploy machine learning models
- Continuously enhance data integration solutions to meet evolving business needs
- Stay updated on the latest technologies and trends in data software engineering
Requirements
- At least 3 years of experience in data software engineering or a similar role
- Expertise in Apache Spark, Microsoft Azure, and Python
- Strong knowledge of forecasting models, MLOps practices, and data science principles
- Hands-on experience with Databricks for creating and optimizing data pipelines
- Proven ability to operationalize data science models for production environments
- Proficiency with Git for version control and collaboration
- Solid understanding of Azure concepts such as clouds, regions, ADLS, and compute services
- Exceptional analytical and problem-solving skills with a creative approach to technical challenges
- Experience working in Agile development environments
- Advanced English communication skills, both written and verbal, at a B2+ level
Nice to have
- Experience with Panda for data manipulation and analysis
- Advanced knowledge of SQL and relational database systems
- Understanding of statistical models and experience developing them with Python or Spark
- Familiarity with tools and technologies related to machine learning