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:

We are seeking an experienced and highly skilled senior data engineer to join our enterprise data strategy and operations team. The ideal candidate will have extensive expertise in designing, building and maintaining data pipelines and data solution architectures on cloud platforms, particularly Azure. This role involves leading data engineering products, optimizing data processing workflows, ensuring data quality and governance, and collaborating with cross-functional teams to empower data driven decision-making at Clorox.

In this role, you will:

Collaborate & Lead: Work closely with business product owners, data scientists, analysts, and cross-functional stakeholders to understand the businesses’ data needs and provide technical solutions. Influence business partners to align to the technical solutions and to adhere to technical architecture standards. Provide technical guidance to junior engineers, BI developers, and contractors to create efficient and effective data solutions

Architecting and Innovate: Utilize Azure Data Factory, Databricks, Python, Spark, and other tools to design, develop, and deploy cutting-edge robust data pipelines, data models, semantic modeling layers and dynamic data solutions. Develop high-quality code to process and move vast amounts of data and integrate systems across diverse technical 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: Develop and manage business intelligence solutions for the organization to transform data into insights that can drive business value. Help R&D Product Owners and Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies.

What we look for:

• 7+ years of experience if the candidate holds BS​ degree in Computer Science, Information Systems or relevant streams; 5-7 years of exp if the candidate holds MS/PhD​ degree
• Experience in architecting data solutions, cloud data engineering, end to end data warehouse or lake house implementations, end to end business intelligence implementations
• 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.
• 4+ years with business intelligence using technologies like Power BI, Tableau etc.
• 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
• Cloud Data Engineering: Data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects. Experience in end-to-end support for data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms. Build data solutions in Cloud platform technologies like Azure, AWS etc. and using data tools like Data Factory, Databricks and Delta Lake.
• Technical Expertise: Strong proficiency in Python, Spark, SQL,