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Role Overview
Senior Data Analyst / Data Engineer at BlackStone eIT. The role combines data engineering and advanced analytics responsibilities to build and maintain data infrastructure and deliver business insights.
Role Purpose
Design, build, and optimize data pipelines and cloud data warehouses while extracting business value through advanced analytics and delivering automated insights to stakeholders.
Key Responsibilities
Data Engineering
- Design, build, and optimize robust ETL/ELT data pipelines from multiple data sources.
- Maintain cloud data warehouses including Snowflake, BigQuery, and Redshift.
- Maintain data lakes.
Data Quality & Governance
- Implement data governance frameworks.
- Establish 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 using Tableau and Power BI.
- Deliver insights to stakeholders through visual reporting.
Qualifications & Experience
- 4 to 6+ years of combined experience in data engineering and advanced data analysis.
- Degree in Computer Science, Engineering, or Statistics.
Skills & Competencies
- 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 Airflow or dbt.
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