Data & Analytics Technologies
SQL – Advanced querying, data extraction, analysis.
Python – Data processing, analytics, scripting.
Data Visualization
Power BI – Dashboard creation, interactive reports.
Tableau – Data visualization and analytics dashboards.
Cloud & Data Platforms
AWS
Azure
Databricks
Familiarity with modern data platforms:
Data lakes
Data warehouses
Snowflake, Redshift
Data Engineering & Quality
Understanding of: Data models, Data pipelines, Data mappings
Data quality concepts: - Completeness, accuracy, consistency, timeliness
Ability to define validation rules, KPIs, and reconciliation logic.
Manufacturing & Operations Data Systems
Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.