Senior Data Engineer

Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace

Your role at Clorox:

At Clorox, we’re revolutionizing the consumer product goods industry with cutting-edge technology and innovative solutions with data at the center of it all. We believe in harnessing the power of data to drive meaningful change and deliver exceptional results. Join our dynamic enterprise data team and be at the forefront of the data engineering revolution to build data as a product and use data as a competitive advantage.

Are you passionate about building the next generation of data solutions? We are looking for an experienced and highly skilled senior data engineer who thrives on solving complex problems and loves working with the latest cloud technologies. If you ‘re eager to shape the future of data in a fast-paced, tech-forward environment, we want to hear from you!

As a Senior Data Engineer at Clorox, you will lead exciting projects, design, build and maintain scalable data solution architectures and make a real impact on our data strategy. In this role, you will leverage our cutting-edge technology, your strong background in business intelligence and engineering in cloud platforms to build futuristic data products that create value across the organization. You will also serve as a key collaborator with our business analytics and enterprise technology stakeholders to innovate, build and sustain the cloud data infrastructure that will further Clorox’s data strategy.

In this role, you will:

Architect & Innovate

• Use tools like Azure Data Factory, Databricks, Python, Spark, and other tools to build cutting-edge data pipelines, data models, semantic modeling layers and dynamic data solutions.
• Develop high-quality code to process and move the vast amount of data and integrate systems across diverse platforms.
• Develop, sustain, implement data improvements and optimization techniques to enhance the data products.
• Continuously evaluate and adopt new technologies and tools to enhance data engineering capabilities and efficiency. 

Optimize and Scale

• Build and maintain data pipelines to integrate data from various source systems.
• Optimize data pipelines for performance, reliability and cost-effectiveness
• Work with enterprise infrastructure and technology teams to implement best practices for performance monitoring, cloud resource management, including scaling, cost control and security.

Ensure Quality and Governance

• Ensure safe custody, transport and storage of data in the data platforms.
• Collaborate with Data Governance Stewards and Business Stakeholders to enforce the business rules, data quality rules and data cataloging activities.
• Ensure data quality, security and compliance for the data products responsible under this role.

Enhance BI Capabilities

• Developing and managing business intelligence solutions for the organization to transform data into insights that can drive business value.
• Provide technical guidance to Analytics Product Owners, Business Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies.

Collaborate and Lead

• Work closely with analytics product owners, data scientists, analysts and business users to understand data needs and provide technical solutions.
• Provide technical guidance to junior engineers and BI teams to use data efficiently and effectively.

What we look for:

• 7 + years of experience with data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects
• 5+ years’ experience with data solutions implementations in Cloud platform technologies like Microsoft Azure, AWS etc. (Azure is preferred)
• 4+ years with business intelligence using technologies like PowerBI, Tableau etc.(PowerBI preferred)
• 4+ years of experience with Azure services like Data Factory, Databricks, and Delta Lake will be an added advantage.
• Experience in end-to-end support for data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms
• Strong knowledge in Cloud service like Microsoft Azure and associated data s