7 часов назад
Sr Analyst, Application Operations (AI)
101 100 - 139 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Analyst, Application Operations (AI): Operating, monitoring, troubleshooting, and continuously improving enterprise data and analytics platforms with an accent on Databricks, Snowflake, ETL/ELT pipelines, SQL, Python, and reporting solutions. Focus on resolving data quality and integration issues, building automation, supporting AI/ML initiatives, and maintaining reliable, governed data products.
Location: Camden, New Jersey 08103, United States
Salary: $101,100–$139,000 per year base salary
Company
is a food company whose portfolio includes packaged food and snack brands such as , Pace, Pacific Foods, Prego, Rao's Homemade, Goldfish, Pepperidge Farm, and V8.
What you will do
- Operate, monitor, troubleshoot, and optimize enterprise data and analytics platforms.
- Build and support ETL/ELT pipelines, workflows, integrations, and data jobs across Databricks, Snowflake, Azure, SAP, APIs, and other enterprise systems.
- Perform SQL and Python analysis, data validation, reconciliation, profiling, and root-cause analysis.
- Develop and support Power BI, MicroStrategy, reports, dashboards, KPIs, metrics, curated datasets, data models, and semantic layers.
- Manage platform operations including access, permissions, users, job scheduling, environments, monitoring, incidents, and technical documentation.
- Drive data quality, governance, security, lineage, metadata, automation, reliability, and continuous improvement while supporting AI and machine-learning initiatives.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related technical field.
- 5+ years of hands-on experience across Data Engineering and Data Analytics.
- Strong SQL and Python experience for analysis, troubleshooting, validation, reconciliation, automation, and operational solutions.
- Experience with Databricks and/or Snowflake, ETL/ELT pipelines, and cloud data technologies such as ADF, Informatica, or ADLS.
- Experience with Power BI, MicroStrategy, or similar reporting platforms, plus data modeling, data quality, governance, lineage, metadata, and security.
- Experience with production support, incident management, monitoring, problem resolution, and working knowledge of AI/ML concepts and lifecycles.
Nice to have
- Experience with MLOps, AI Operations, Generative AI, Agentic AI, feature engineering, model monitoring, or ML/AI pipelines.
- Knowledge of SAP S/4HANA, SAP Datasphere, SAP SLT, Unity Catalog, data catalogs, observability tools, or metadata management.
- Certifications in Databricks, Snowflake, Azure, Informatica, Generative AI, Agentic AI, or related technologies.
Culture & Benefits
- Medical, dental, disability, accidental death and dismemberment, and life insurance benefits begin on the first day of employment.
- Matching 401(k) plan with immediate vesting, paid time off, holiday pay, and unlimited sick time.
- Access to a fitness center, on-site childcare, and a company store at the World Headquarters.
- Employee resource groups and the Cares donation and volunteer matching program.
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