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