Associate Manager, Data Engineer

What you'll love about this job

Hybrid 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.

Full-Time