Senior Data Engineer

Your role at Clorox:

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. #Clorox Is The Place

• Collaborate & Lead :
  Work closely with business product owners, data scientists, analysts, and cross‑functional stakeholders to understand the business’ 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 :
  Strong proficiency in Python, Spark, SQL, PySQL, Pandas, CI/CD methodologies is required. Strong data ingestion, data modeling and dimensional modeling skills using medallion lake house architecture. Strong BI skills to build reports & dashboards using Power BI and Tableau etc. Experience in reporting security like row level, column level, object level and masking etc. Experience with SQL and DML to recast data in backend database for data changes, restatements and data processing errors, etc.
  
  Experience with ML Ops and supporting Data Science workflow pipelines. Knowledge of Gen AI frameworks and LLMs to support agentic products

• 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 Analytics Product Owners and Business Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies.

• 7+ years of exp 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

• BS degree or higher in Computer Science, Information Systems or relevant streams

• Experience in architecting data solutions, cloud data engineering, end to end data warehouse or lake house implementations, end to end business intelligence implementations

• Minimum 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

• Knowledge or experience in Microsoft D365 Dataverse and reporting in Microsoft Fabric technology

• 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.

• Leadership Skills

• Exper…