Sr Data Engineer

hace 3 semanas

Tlalnepantla, México The Clorox Company A tiempo completo

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people’s lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to

IgniteYourCareer



Your role at Clorox:
Clorox’s Enterprise Data Strategy and Operations team is seeking a talented Data Solutions Architect/Sr Data Engineer to work in our Data Engineering squad and lead the Data & Analytics pipeline work that will equip, enable and empower our business with high-value enterprise data assets.

We are looking for an analytical big picture thinker who is driven to enhance and further our integrated data fabric by leveraging and delivering technology to business and cross-functional stakeholders across the enterprise. We are on a mission to put data and analytics into key moments of decision in the business by combining the power of data engineering, architecture, governance, and analytics. As a Solution Architect - Data, you would play a key role in leading/architecting delivery of multiple data and analytics projects, data engineering competency in cloud platforms, and implementation of data solutions driving insights for the business. You would serve as a leader to help drive the enterprise data engineering strategy to create value across the organization.

In this role, you will:
**Job Description**:

- Lead data engineering initiatives leveraging cloud services to automate data ingestion pipelines (batch and streaming) along with automated testing, deployments, and monitoring
- Architect and design solutions for data engineering initiatives
- Work with the DataOps team for code migration and continuous improvements
- Serve as delivery lead for a team of onsite/offshore data engineers and data analysts
- Provide data engineering and data analysis services to business functions to solve problems through the right data and insights
- Help educate and train the junior data team to grow in their career
- Partner with the business to define a value-generation roadmap and deliver MVPs of data products across data domains
- Build product-sense for data products while measuring user-adoption, -growth, -retention, and data products quality
- Play a key role in building out our enterprise cloud data platform through expert knowledge of cloud service offerings that fit into the Clorox’s Integrated Data Fabric roadmap

What we look for:
8+ years of data and technology experience, with at least 4 years in a solution architecture and data engineering.
- 4+ years of Experience with Big Data Architectures, Business Intelligence, Data Engineering, Data Warehousing (Kimball/Inman/RDBMS), Wide Tables, Data Modeling, Report/Dashboard Building
- Experience working with any modern data tech stack like Azure Data Factory, Databricks Delta Lakehouse, Azure Synapse Analytics, Google Data Flow, Data Prep, Python based integrations, Integration Run Times, MuleSoft Integration Platform, API led Integrations, etc.
- Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP Big data services, Databricks and other tools & technologies
- Strong analytical and problem-solving skills with a proven track record in gathering and documenting comprehensive business requirements
- Extensive experience in data modeling and database design involving any combination of data warehousing and business intelligence systems and tools
- Expert knowledge in SQL, Python, PySpark, Databricks, SparkSQL development frameworks
- Expert level experience in writing ANSI SQL, T-SQL, PLSQL or HIVE SQL based complex queries and data aggregation and transformation
- Experience with API-led data integrations
- Experience in working/delivering analytics using Power BI and Tableau

Additional preferred qualifications
- Experience working in a DevOps practice
- Innovation mindset - Test & learn and build for value
- Architecture mindset - Understand how business value drivers, conceptual, logical, and physical architectures tie in together to deliver on the strategy
- Understanding of data governance, data quality management, data custodianship, data regulations like GDPR/CCPA
- Experience working with massively parallel processing (MPP) architectures
- Experience with query processing engines like those of Delta Lake, Presto, Azure Synapse, Dremio, etc.
- Exposure to the Azure cloud services stack including serverless stack
- Experience with ITSM, release management and change management practices

Experience working in Agile or SAFE Agile team structures

Workplace type:
Hybrid Position

We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectiv

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