Senior DataOps & Analytics Engineer

The Campbell's Company

Camden (NJ)

Hybrid

USD 101,000 - 139,000

Full time

4 days ago

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Benefits offered by this job

Free on-site fitness center access

On-site day care (Bright Horizons)

Employee Resource Groups

Job summary

Campbell’s Senior Analyst – Application Operations will be a hands-on member of the Data Analytics and AI Operations team, operating, monitoring, troubleshooting, and improving enterprise data platforms and analytics solutions.

You will leverage Databricks, Snowflake, Azure Data Factory, Informatica, Python, SQL, Power BI and MicroStrategy to deliver scalable, secure data products, enable AI capabilities, and provide trusted data to stakeholders across the enterprise.

Qualifications

Bachelor’s degree in a technical field.
5+ years of hands-on experience in both Data Engineering and Data Analytics.
Strong SQL skills for data analysis, troubleshooting, validation, reconciliation, and root cause analysis.
Hands-on experience building, monitoring, troubleshooting, and optimizing ETL/ELT pipelines with Databricks and Snowflake.
Experience with cloud data technologies such as ADF and Informatica.
Hands-on Python for data analysis, automation, and operational solutions.
Hands-on experience with Power BI or MicroStrategy for reporting.
Strong understanding of data modeling, data quality, governance, data lineage, metadata, and data security.
Production support, incident management, monitoring, and problem resolution.
Strong communication and stakeholder-management skills across technical and business teams.

Responsibilities

Perform data engineering and analytics across enterprise data platforms.
Build, monitor, troubleshoot, and optimize ETL/ELT pipelines and data jobs.
Conduct SQL and Python data analysis, validation, reconciliation, and root cause analysis.
Support pipelines across SAP S/4HANA, SAP Datasphere, SAP SLT, ERP, APIs, cloud applications, and other systems.
Analyze and resolve data quality, pipeline performance, and integration issues.
Develop Power BI, MicroStrategy reports and dashboards.
Maintain trusted data products, curated datasets, and semantic layers for analytics and AI use cases.
Support data models, datasets, and enterprise reporting.
Oversee data administration: access, permissions, user management, scheduling, monitoring.
Develop Python/SQL automation to improve efficiency.
Monitor data and platform performance and identify operational risks.
Lead incident investigations and corrective actions.
Maintain runbooks, SOPs, and technical documentation.
Drive data governance, security, lineage, metadata, and compliance.
Identify automation and continuous improvement opportunities.
Apply AI/ML knowledge to support analytics initiatives.
Serve as hands-on resource for data/analytics issues.