Data & AI Engineering Professionals (Data Engineering, Analytics, AI/ML & Reliability Engineering)
Коротко
Builds and maintains data platforms and pipelines across engineering, analytics, AI/ML, and reliability; uses PySpark, Snowflake/Databricks, ETL/ELT, GCP/AWS · Needs: 2-12 years in relevant domain depending on role; experience with named technologies per role.
Описание от работодателя
IND Evergreen Requisition - GCC141
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Data Engineer (2 to 12 Years) - Data Engineering, Pyspark, Snowflake/Databricks, ETL/ELT, GCP/AWS, RAG, Vertex AI
Data Analyst (2 to 9 Years) - Data Analysis, SQL, Python, Stakeholder Management
Data Reliability Engineer (2 to 9 Years) - Data Reliability, SRE, Snowflake, AWS/GCP, Informatica, Python/Pyspark, EMR/Hadoop
AWS EMR Engineer (6 to 9 Years) - Bigdata Platforms, Hadoop. AWS EMR, Platform Administration, AWS Services
AI/ML Engineer (2 to 12 Years) - AI/ML, Generative AI & Agentic AI Solutions, RAG, Python, FastAPI, GCP, Vertex AI
Applied AI Scientist (2 to 12 Years) - Applied AI, Statistical Modelling, Machine Learning, Python, Scikit Learn, SQL, PyTorch, GCP, Vertex AI
Site Reliability Engineer (6 to 9 Years) - SRE, Terraform, AWS/GCP, ML/AI Platforms, Python to build automation tools
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