Data Engineering: Design, build, and optimize robust ETL/ELT data pipelines from multiple data sources.

Architecture & Storage: Maintain cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes.

Data Quality: Implement data governance, validation checks, and error-handling routines.

Advanced Analytics: Query large datasets using complex SQL and Python to extract business value.

Visualization & Reporting: Create automated dashboards and BI reports (Tableau, Power BI) for stakeholders.

Requirements

Experience: 4 to 6+ years of combined experience in data engineering and advanced data analysis.

Programming: Advanced SQL, Python, or Scala.

Big Data & Cloud: Experience with AWS, GCP, or Azure; familiarity with Spark or Hadoop.

BI Tools: Expertise in Power BI or Tableau.

Orchestration: Hands-on practice with tools like Airflow or dbt.

Education: Degree in Computer Science, Engineering, Statistics