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.

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.

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.