✨ AI Summary
BlackStone eIT is seeking a Senior Data Analyst / Data Engineer for a permanent, full-time position in Dubai, United Arab Emirates. The role involves designing and building robust ETL/ELT data pipelines, maintaining cloud data warehouses and data lakes, implementing data governance, and extracting business value from large datasets using advanced SQL and Python. The successful candidate will also create automated dashboards and BI reports for stakeholders.
Key requirements include 4 to 6+ years of combined experience in data engineering and advanced data analysis, proficiency in advanced SQL, Python, or Scala, and experience with cloud platforms like AWS, GCP, or Azure, along with big data technologies such as Spark or Hadoop. Expertise in BI tools like Power BI or Tableau, and familiarity with orchestration tools like Airflow or dbt are also crucial. A degree in Computer Science, Engineering, or Statistics is required.
Requirements
Requires 4 to 6+ years of combined experience in data engineering and advanced data analysis, with advanced SQL, Python, or Scala. Experience with AWS, GCP, or Azure, and familiarity with Spark or Hadoop is essential. Expertise in Power BI or Tableau, and hands-on practice with orchestration tools like Airflow or dbt are also required.
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.RequirementsExperience: 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