Senior Data Engineer – Analytics & ML Insights

A world leader in cloud solutions using tomorrow's technology to tackle today's problems, with 40+ years of experience.
Data
Senior Software Engineer
In-Person
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Engineer – Analytics & ML Insights

Oracle Utilities is tackling climate change through data-driven solutions. The Opower Data Engineering group within Oracle Industry Analytics & Innovation organization works on building robust ML insights pipelines and scalable ETLs. As a Senior Data Engineer & Data Analyst, you'll be part of a cross-functional team developing ML/AI/GenAI powered insights that impact millions of households worldwide.

The role involves working with petabytes of data to create transformative solutions using modern Oracle Cloud technologies. You'll collaborate with data scientists, engineers, and business teams to ensure data-driven decisions are at the core of operations. The position offers an opportunity to work on significant environmental impact projects - the company has already saved 40 TWh of energy, equivalent to powering 6.3 million passenger vehicles.

You'll be responsible for designing ETL workflows, developing data models, integrating visualization tools, conducting data analysis, and feature engineering for ML applications. The role requires expertise in Python, SQL, and data modeling, with opportunities to work with cutting-edge technologies including Generative AI and cloud-based services.

Oracle offers a competitive benefits package and promotes a diverse, inclusive workplace. The company has a 40+ year track record of innovation and operates with integrity across global markets. This role provides an opportunity to make a meaningful impact on climate change while working with state-of-the-art technologies in a collaborative environment.

Last updated 6 days ago

Responsibilities For Senior Data Engineer – Analytics & ML Insights

  • Design and build scalable ETL workflows using Spark and Python
  • Develop and evolve data models and pipelines
  • Integrate data with visualization tools
  • Conduct exploratory data analysis
  • Feature engineering for ML models
  • Optimize data infrastructure
  • Leverage modern ML and AI services

Requirements For Senior Data Engineer – Analytics & ML Insights

Python
Java
  • 5+ years of experience in data analysis, data engineering, ML engineering or similar role
  • Proficiency in Python coding for data manipulation, ETL, and pipeline development
  • Proficiency in SQL and experience with modern data warehouses
  • Solid understanding of data modeling principles
  • Experience with data visualization tools (Tableau, Power BI, Oracle Analytics Cloud)
  • Hands-on experience in feature engineering for machine learning models
  • Strong problem-solving and critical thinking skills
  • English language proficiency

Benefits For Senior Data Engineer – Analytics & ML Insights

Medical Insurance
  • Flexible medical insurance
  • Life insurance
  • Retirement options
  • Volunteer programs

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