About the Team 

The Opower Data Engineering group at Oracle Industry Analytics & Innovation organization is a cross-functional team of application developers, big data engineers, data platform ops engineers, and data scientists who work collaboratively to build robust ML insights pipelines, design scalable ETLs, and deliver advanced analytics solutions.  This team brings forth ML/AI/GenAI powered insights to millions of households across the world. This team builds on top of modern Oracle Cloud technologies to create transformative solutions that drive the future of our business.  As a Senior Data Engineer, you’ll play a critical role in building data and ML solutions, driving business decisions and making petabytes of data accessible, reliable, and impactful. 

 

About the Role 

As a Data Engineer, you will harness the power of data to solve complex problems and influence strategic initiatives. You’ll work closely with stakeholders across various domains, ensuring that data-driven decisions are at the core of our operations. If you are passionate about Machine Learning, AI, data analysis, visualization, feature engineering, data quality and integrity - this role is perfect for you.

 

Key Responsibilities

Collaborate with product managers and cross-functional teams to understand product requirements and potential applications. Assist in designing, developing, and maintaining data pipelines and ML Pipelines Support ETL (Extract, Transform, Load) processes for data integration. Collaborate with data scientists to develop and optimize features for machine learning applications, supporting seamless ML Ops workflows. Explore and integrate cutting-edge Oracle cloud-based AI services, including Generative AI, speech recognition, and other advanced technologies, to enhance data engineering workflows and capabilities. Work with structured and unstructured data from various sources. Optimize database performance and troubleshoot data issues. Deploy and maintain AI models in production, preprocess, and utilize data effectively. Ensure data quality, accuracy, and security across all data processes. Learn about the latest developments in AI and machine learning supporting our leaders to ensure our product remains at the forefront of technological advancements.

 

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. Good knowledge of SQL and database management. Basic knowledge of machine learning concepts, including model training, evaluation, and inference. Familiarity with programming languages such as Python, Java, or Scala. Understanding of data modeling and data warehousing concepts. Exposure to cloud platforms like Oracle Cloud, AWS, Azure. Strong problem-solving and analytical skills. Eagerness to learn and adapt to new technologies

Career Level - IC2