Job Description

Roles & Responsibilities

Design, build, and optimize robust ETL/ELT data pipelines from multiple data sources. Maintain cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes. Implement data governance, validation checks, and error-handling routines. Query large datasets using complex SQL and Python to extract business value. Create automated dashboards and BI reports (Tableau, Power BI) for stakeholders.

Desired Candidate Profile

• 4 to 6+ years of combined experience in data engineering and advanced data analysis.
• Advanced SQL, Python, or Scala.
• Experience with AWS, GCP, or Azure; familiarity with Spark or Hadoop.
• Expertise in Power BI or Tableau.
• Hands-on practice with tools like Airflow or dbt.
• Degree in Computer Science, Engineering, Statistics
•