Job Description:

• Cloud Platforms: Deep hands-on expertise in at least one major cloud data ecosystem:

• GCP (BigQuery, Cloud Storage), AWS (Redshift, S3, Glue), or Azure (Synapse Analytics, Data Factory).

• Data Engineering: Proficiency with modern data stack tools such as dbt (data build tool),

• Apache Airflow (or similar orchestration tools), and PySpark for handling large-scale

• data processing.

• o Programming: Strong, production-level coding skills in Python (Pandas, NumPy, Scikit-

• learn) for predictive analytics and automation.

• o Database & SQL: Expert-level Advanced SQL (window functions, CTEs, query plan

• optimization).

• o Business Intelligence: Mastery of Power BI, including advanced DAX programming,

• complex tabular modeling, Power Query (M), and integrating ...