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About the Role
We are seeking a Data Engineer to design, build, and optimize robust ETL/ELT data pipelines, maintain cloud data warehouses and data lakes, implement data governance and quality checks, query large datasets using SQL and Python, and create automated dashboards and BI reports.
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
- 4 to 6+ years of combined experience in data engineering and advanced data analysis.
- Experience with AWS, GCP, or Azure.
- Familiarity with Spark or Hadoop.
- Hands-on practice with tools like Airflow or dbt.
Skills
- Advanced SQL
- Python
- Scala
- AWS
- GCP
- Azure
- Spark
- Hadoop
- Power BI
- Tableau
- Airflow
- dbt
Experience Level
- 4 to 6+ years
Education Level
- Degree in Computer Science, Engineering, Statistics