Technology Architect Development process generic Big Data Analytics Process
Posted
Pay Rate Range: $ 51.42 - 52.94/hr on W2
Job Title* and Job band: Data Analyst
Detailed job description -
Skill Set: Data Science & Analytics
*Data Governance & Metric Definition
Mandatory Skills:
*5+ years of experience across data science, data engineering, or analytics with at least 2 years in a retail or consumer goods environment
*Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar)
*Familiarity with causal inference methods and experiment design
*Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
*Practical experience building or deploying AI agents or LLM-powered applications
*Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j)
*Experience with data governance practices data quality, metadata management, or data stewardship
*Ability to communicate complex findings clearly to non-technical stakeholders.
Good to Have Skills:
*Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar)
*Exposure to ontology design or entity resolution in a retail context
*Familiarity with data governance frameworks (DAMA-DMBOK or simila
*Graph query languages (SPARQL, Cypher)
*Cloud data platform experience (Snowflake, BigQuery, Databricks).
Job Title* and Job band: Data Analyst
Detailed job description -
Skill Set: Data Science & Analytics
*Data Governance & Metric Definition
Mandatory Skills:
*5+ years of experience across data science, data engineering, or analytics with at least 2 years in a retail or consumer goods environment
*Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar)
*Familiarity with causal inference methods and experiment design
*Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
*Practical experience building or deploying AI agents or LLM-powered applications
*Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j)
*Experience with data governance practices data quality, metadata management, or data stewardship
*Ability to communicate complex findings clearly to non-technical stakeholders.
Good to Have Skills:
*Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar)
*Exposure to ontology design or entity resolution in a retail context
*Familiarity with data governance frameworks (DAMA-DMBOK or simila
*Graph query languages (SPARQL, Cypher)
*Cloud data platform experience (Snowflake, BigQuery, Databricks).
