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BlackStone eIT

Senior Data Analyst / Data Engineer

BlackStone eIT Dubai, Dubai, United Arab Emirates

IT Services and IT Consulting · 1,001-5,000 employees

Aug 14
data-engineer Senior (5-10 yrs) Full-time United Arab Emirates
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About the role

Design, build, and optimize robust ETL/ELT data pipelines while maintaining cloud data warehouses and data lakes. Implement data governance routines and create automated dashboards to extract business value from large datasets.

What they look for

Data Engineering ETL/ELT SQL Python Scala Snowflake BigQuery Redshift Data Governance Tableau Power BI AWS GCP Azure Spark Airflow

Requirements

Requires 4 to 6+ years of combined experience in data engineering and advanced data analysis. Candidates must possess a degree in Computer Science, Engineering, or Statistics and demonstrate proficiency in SQL, Python, and cloud-based big data tools.

Full description

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.

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, Statistics

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