What you’ll love about this job
Remote Opportunity | Exemplary 401(k) | Bonus Structure
This is Energizer Holdings, Inc.
Energizer Holdings responsibly creates products to make lives easier and more enjoyable. To do this, we lean into our culture as an organization – we win together, while serving each other, with a willingness to act boldly, all while doing right. Our colleagues hail from all backgrounds, nationalities and walks of life, but our shared mission and purpose make us one team. Because we’re a global organization, you will always have opportunities to learn, grow and develop in your career. We support flexible working arrangements wherever possible.
Position Summary
The Associate Manager, Data Engineer is a key role to advance Energizer’s analytics-driven business strategy. This role requires a highly motivated developer who thrives on learning new skills and developing value-add data products for business partners, data scientists and analysts. This is an influential position in the department for those data engineers who enjoy seeing the big picture of data assets linked to business process and value, ensuring data for solutions are highly available, consistent, and optimized for delivery to data consumers.
Responsibilities
- 50%-Data Engineering: Key member of a team that develops and supports Energizer’s data engineering pipelines and solutions
- 40%-Documentation and Governance: Managing and creating the necessary documentation around data lineage within Energizer’s analytics environment
- 10%-Enablement: Engages with developers and business users to communicate data availability
- Acquire data from various internal and external sources
- Store and stage data through various stages of transformation
- Model data to meet various business needs in line with overall data strategy
- Deliver data to satisfy reporting, analytics and data science requirements
- Build and deploy pipelines, transformations and data flows that are reliable, optimized and can be rerun quickly and efficiently
- Define and manage processes to document data pipelines and provide visibility to data lineage in the analytics environment
- Develop data lineage documentation
- Leverage data lineage documentation to guide the company to efficient and cost-effective data architecture decisions
- Educate and inform developers and analysts on data availability
- Perform root cause analysis on external and internal processes and data to identify opportunities for improvement and respond to inquiries on data
- Work closely with subject matter experts and business stakeholders to identify, design, and develop efficient and high-quality data pipelines and models
- Follow and leverage CI/CD processes and proper release management of new features and capabilities
- Follow established change management practices to ensure availability, performance and reliability of systems impacted by the change
- Ensure data engineering deliverables are operational per predefined SLAs
What we are looking for
- Bachelor’s Degree in Computer Science, Engineering, or equivalent work experience
- Minimum 3 years of working experience with SQL and python
- 3+ years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
- Minimum 2 years experience developing data analytics/engineering solution in cloud-based platforms (Azure, Google or AWS)
- Experience with data lineage documentation tools (Purview)
- Experience working on CI/CD processes such as Azure DevOps and source control tools such as GitHub, etc.
- SAP experience
- Microsoft Azure experience (Azure Synapse, Azure Data Factory, Fabric/Power BI)
- Strong business understanding (sales, supply chain, operations, and/or finance)
Come join us!
Energizer is an equal opportunity employer, and we prohibit discrimination based on age, color, disability, marital or parental status, veteran status, national origin, race, religion, sex, sexual orientation, gender identity or any other legally protected status in accordance with applicable federal, state and local laws.