Back to SearchSenior Data Software Engineer
Data Software Engineering
& 7 others
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We are seeking a remote Senior Data Software Engineer to join our team.
This position requires a highly skilled professional with expertise in Apache Spark, Microsoft Azure, and Python. You will work on a high-impact project for a globally recognized brand, contributing to the development of innovative data solutions that support business growth and success.
Responsibilities
- Collaborate with cross-functional teams to design, implement, and maintain data integration systems
- Build and optimize data pipelines leveraging Apache Spark, Microsoft Azure, and Python
- Ensure data pipelines are scalable, reliable, and maintainable
- Convert data science models into production-ready applications
- Develop and support forecasting models to inform strategic business decisions
- Maintain data quality and consistency across all data sources
- Monitor and enhance data pipelines to ensure efficient data processing
- Work with data scientists to create and deploy machine learning models
- Continuously refine and improve data integration solutions to meet changing business requirements
- Stay informed about emerging trends and technologies in data software engineering
Requirements
- A minimum of 3 years of experience in data software engineering or a related role
- Advanced proficiency in Apache Spark, Microsoft Azure, and Python
- Deep understanding of forecasting models, MLOps practices, and data science concepts
- Hands-on experience with Databricks for building and optimizing data pipelines
- Proven ability to deploy data science models in production environments
- Proficiency in using Git for version control
- Strong knowledge of Azure concepts, including clouds, regions, ADLS, and compute services
- Exceptional analytical and problem-solving skills, with the ability to think critically and innovate solutions
- Experience working in Agile development environments
- Strong written and verbal English communication skills at a B2+ level
Nice to have
- Experience with Panda for data manipulation and analysis
- In-depth knowledge of SQL and relational database systems
- Understanding of statistical models and experience developing them using Python or Spark
- Familiarity with machine learning tools and technologies