Senior Data Analyst / Data Engineer

BlackStone eIT; Dubai; On-site; AED 240,000 - 360,000; Full time

Job summary

BlackStone eIT is seeking a data engineering professional to design, build, and optimize ETL/ELT pipelines from multiple data sources. The role involves maintaining cloud data warehouses and data lakes (Snowflake, BigQuery, Redshift) and implementing data governance and quality checks.

You will query large datasets with SQL and Python to derive business value and create automated BI dashboards (Power BI, Tableau) for stakeholders.

Qualifications

• Design, build and optimize robust ETL/ELT data pipelines from multiple sources.
• Maintain cloud data warehouses and data lakes (Snowflake, BigQuery, Redshift).
• Implement data governance, validation checks and error-handling routines.
• Query large datasets with SQL and Python for business insights.
• Create automated dashboards and BI reports (Power BI, Tableau) for stakeholders.

Responsibilities

• Design, build and optimize robust ETL/ELT data pipelines from multiple data sources.
• Maintain cloud data warehouses and data lakes (Snowflake, BigQuery, Redshift).
• Implement data governance, validation checks and error‑handling routines.
• Query large datasets using Python and SQL to extract business value.

Skills

ETL/ELT pipelines

SQL

Python

Scala

Big Data concepts

Data governance

Airflow

Education

Degree in Computer Science, Engineering, Statistics

Tools

Snowflake

BigQuery

Redshift

Power BI

Tableau

Airflow

dbt

Spark

Hadoop

AWS

GCP

Azure

Job 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