Data Analyst at Nium analyzing transaction and risk data. Leveraging SQL and analytics to translate insights into risk rules and operational decisions.
About the role
- Lead Data Engineer managing and optimizing data infrastructure for Solventum's healthcare innovations. Collaborating with analysts and stakeholders to design robust data pipeline solutions.
Responsibilities
- Guide our data engineering team and shape the future of our data infrastructure.
- Own the design, strategy, and execution of our data architecture, ensuring that our data pipelines are scalable, reliable, and capable of supporting our enterprise's growing analytical needs.
- Architect, build, and optimize scalable and reliable data pipelines using tools like Fivetran, Informatica, AWS Glue, and custom Python scripts.
- Lead the integration of complex data sources from various enterprise applications, including ERPs (SAP S/4HANA, MS Dynamics, BPCS) and SaaS platforms (Salesforce, Workday, Concur).
- Provide technical guidance, mentorship, and code reviews for data engineering team members, promoting best practices in data management and software development.
- Partner with data analysts, business intelligence developers, and business stakeholders to understand data requirements and deliver effective solutions.
- Establish and maintain data quality standards, monitor production data pipelines, and troubleshoot complex data issues to ensure high availability and performance.
Requirements
- Bachelor’s Degree or higher AND 7+ years of data analytics experience OR High School Diploma/GED from AND 11+ years of Information systems / Analytics application Consulting experience AND 7+ years of strong experience with SQL and ability to write efficient code for high volume data processing
- 4+ years of strong experience with Snowflake and dbt cloud.
- 7+ years of hands-on experience with data modeling design and implementation
- 4+ years with AWS tools (S3, AWS Glue, Airflow, Lambda, Step function etc.), Informatica IICS or Fivetran/HVR
- 3+ years working directly with subject matter experts in both business and technology domains
- 2+ years with ERP applications - preferably SAP S4, MS Dynamics, Oracle and or BPCS
- 2+ years of hands-on experience with Salesforce, Workday, Ariba, Concur or any other Enterprise application
- 2+ years working with business and technical leaders to design, build and implement analytics solutions across a Business Intelligence Stack (Snowflake, SQL, Power BI/Fabric, AWS)
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
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Not specified
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