Software Development Engineer focusing on data pipelines and engineering solutions for energy storage at Jupiter Power. Collaborating with cross-functional teams for impactful projects in a hybrid setting.
Responsibilities
Design and implement sophisticated data engineering and data science pipelines to support business applications and AI models.
Responsible for routine DataOP and MLOP operations.
Maintain and enhance real-time trading tools for informed decision-making.
Translate complex technical concepts into actionable insights for non-technical stakeholders.
Explore and adopt research on emerging trends in data engineering, data science, AI, and energy storage to drive innovation.
Partner with teams across engineering, finance, and operations to deliver impactful data engineering solutions.
Requirements
Undergraduate or Master’s degree in Computer Science.
2+ years in full stack software programming and software development.
2+ years in data engineering, machine learning, and Excel-based automated workflows with Visual Basic (nice to have).
Extensive experience with cloud platforms (e.g., Azure, Databricks) and big data technologies (e.g., Hadoop, Spark).
Hands-on experience with Databricks platform and Spark framework such as PySpark.
Programming proficiency in Python, PySpark, and Visual Basic.
Good understanding of data profiling, quality evaluation, and statistical methods.
Proven success managing data and machine learning projects across full model lifecycles, using DevOps, DataOps and MLOps best practices.
Prefer to have full stack software development skills including to both front end and backend.
Benefits
Candidate should expect very little travel.
Compensation and benefits offered will be commensurate with the experience and qualifications of the candidate.
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