Senior Data Engineer
1 week ago
RESPONSIBILITIES:
- Developing and supporting data products on a modern cloud-based data lake, leveraging expertise and knowledge of multiple technologies & data domains to help build a robust, scalable, and reliable data engineering platform.
- Providing data services for enterprise-grade analytical environments, utilizing automated data pipelines at scale, and streamlining efficient data transformations for priority use cases.
- This role can be involved hands on in development of the codebase and partners with business units and peer technology groups to support analytics execution.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Partner across the organization to architect, implement, deploy, and maintain data-driven systems solutions.
- Build, maintain and simplify enterprise data pipelines with emphasis on security, reusability & data quality.
- Perform debugging and fixing application issues, root cause analysis, and help in proactive/preventive maintenance. Help in technical debt reduction and follow clean code principles.
- Development experience in one or more languages (e.g. Python, SQL, Scala, R, C#, Java, Rust)
- Experience in the use of Infrastructure as Code tools (Terraform).
- Engagement in data governance council to define, develop, and review standards, guidelines, and data models to promote data quality and best practices.
- Leverage DevOps tools to automate deployment and validation/test automation of data engineering pipelines.
- Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture.
- Effectively plan and collaborate with technical and non-technical teams on business initiatives.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required:
- Technical knowledge of BI systems design
- Big data architecture and technology landscape
- ETL orchestrations
- BI Tools
- Strong communications skills
- Comfort working in a fast-paced, multi-task environment
EDUCATION AND EXPERIENCE:
Broad knowledge of technical capabilities such fields as development, database administration, architecture, Etc.
Equivalent to a four-year college degree, plus 3 to 5 years related experience and/or training, or equivalent combination of education and experience.
Industry: Retail
Those authorized in the United States are encouraged to apply. We are unable to sponsor at this time.
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