Employee Success Lead Data Engineer
Indiana - Indianapolis, United States
USD 143K-236K (estimate) Senior-level Full Time
Tasks
- Architect and maintain APIs for data exchange
- Build Salesforce Flow automation
- Collaborate with data scientists to deploy scalable models
- Collaborate with global teams to deliver solutions
- Define metrics build proof of concepts document requirements
- Design and develop automation frameworks for model training and inference
- Develop Salesforce Apex code
- Guide Salesforce Data360 integration and utilization
- Implement data governance, security, and compliance
- Implement large language models and generative AI solutions
- Integrate external data sources and AI services
- Lead design development optimization of data pipelines
- Lead review and validation of logical and physical design
- Leverage AI and machine learning for predictive analytics
- Optimize cloud data storage processing and retrieval
Perks/Benefits
- 401k
- Dental insurance
- Employee stock purchase program
- Health insurance
- Life and disability insurance
- Mental health support
- Paid parental leave
- Time off programs
- Vision insurance
Skills/Tech-stack
API Development | AWS Aurora | AWS EC2 | AWS Lambda | AWS S3 | Apache Airflow | Bash | Cloud Computing | DBT | Data Compliance | Data Governance | Data Modeling | Data Security | Data Warehousing | Data360 | Embeddings | Generative AI | Git | Informatica IICS | Language Models | Large Language Models | Machine Learning | NLP | Python | RAG | SQL | Salesforce Apex | Salesforce Flow | Snowflake | Vector Databases
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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