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.