Senior Data Analyst Data Engineer

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, or Statistics.