Senior Data Analyst / Data Engineer

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