Data Engineer
Data Engineer
Posted on :
11-04-2025
Employer Active
1 Vacancy
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Job Description
Description
Enphase Energyis a global leader in solar inverters. By combining the power of solar energy and the proven advantages of communications technology Enphase Energy makes solar power systems productive reliable smart and safe increasing the energy harvest of solar panels by up to 25 percent. Our microinverter system is profoundly changing the way solar systems function and thus changing the solar industry itself.
As we continue our exciting growth we are building teams with highly talented individual contributors and leaders who design develop and manufacture next generation solar technologies. Our work environment is fastpaced fun and full of exciting new projects.
The Software Engineer role will be responsible for Supporting Enphase Analytics and Datawarehouse team. Provides support for the data management/Governance activities of the organisation. Collaborates with Engineering/Quality/CS teams/Factory and various other teams.
Overview:
- Design develop and maintain Analytics/dashboards/Automation and reports.
- Work closely with stakeholders to understand their needs and translate them into business/DW solutions.
- Ensure the performance optimisation quality and responsiveness of the dashboards.
- Collaborate with the team to define design and ship new features.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality organisation and automatisation.
Essential duties/responsibilities:
- Strong understanding of Datawarehouse Concepts.
- Experience translating theoretical concepts into engineered features with a demonstrated ability to create features capturing important events or transitions within the data.
- Expertise in crafting custom features that highlight unique patterns specific to the dataset or problem enhancing model predictive power. Ability to combine and synthesise information from multiple data sources to develop more informative features.
- Advanced knowledge in Apache Spark (PySpark SparkSQL SparkR) and distributed computing demonstrated through efficient processing and analysis of largescale datasets. Proficiency in Python R and SQL with a proven track record of writing optimized and efficient Spark code for data processing and model training.
- Handson experience with cloudbased machine learning platforms such as AWS SageMaker and Databricks showcasing scalable model development and deployment.
- Demonstrated capability to develop and implement custom statistical algorithms.
- Proficiency in statistical methods for identifying patterns and trends in large datasets essential for predictive maintenance.
- Experience optimising code for performance in highthroughput lowlatency environments. Experience deploying models into production with expertise in monitoring their performance and integrating them with CI/CD pipelines using AWS Docker or Kubernetes.
- Familiarity with endtoend analytical architectures including data lakes data warehouses and realtime processing systems.
- Experience creating insightful dashboards and reports using tools such as Power BI Tableau Incorta or custom visualisation frameworks to effectively communicate model results to stakeholders.
- 5 years of experience in data science and explored Gen AI/DL/AIML model using ML Flows
Qualifications
- Bachelors or Masters degree/ Diploma in Engineering Statistics Mathematics or Computer Science
- 3 years of experience as a Data Engineer/Data Science
- Strong problemsolving skills
- Proven ability to work independently and accurately
- Strong Expertise in Python Spark R SQL or any other programming language
- Strong handson expertise with at least one analytics tools like Snowflake Databricks or Incorta.
Employment Type
Full-Time
Key Skills
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