Data Engineer
1 day ago
Job Title – Data Engineer (Data Pipeline Development)
Location: Kuwait
Experience: 7+ Years
Job Summary:
We are seeking a highly skilled
Data Engineer
with
7+ years of experience
to design, build, and optimize data pipelines for enterprise systems in Kuwait. The ideal candidate will have strong experience in data ingestion, transformation, quality control, and BI/dashboard integration, with proven ability to work on both batch and streaming data processing.
Key Responsibilities:
Data Pipeline Development:
- Extract data from upstream systems (e.g., Seabed, Sahala, and others).
- Design and implement data ingestion mechanisms (batch and streaming) into centralised environments (Data Lake / Data Warehouse).
- Integrate multiple data sources ensuring schema consistency and alignment.
Data Quality (QC) Implementation:
- Define and implement data quality checks (Completeness, Accuracy, Consistency, Timeliness, Duplicate handling).
- Build automated logging, alerts, and reports for QC failures.
- Leverage frameworks such as Great Expectations, Deequ, dbt tests for QC validation.
Data Transformation:
- Apply transformation rules to convert raw data into dashboard-ready formats.
- Implement business rules, filtering, aggregation, and enrichment.
- Prepare datasets for analytical dashboards and operational workflows.
System & Dashboard Integration:
- Ensure seamless integration of processed data into BI dashboards (Power BI, Tableau, QlikSense).
- Expose data to APIs, automation scripts, and system workflows.
- Optimize performance for dashboards and consuming applications.
Documentation & Handover:
- Document pipeline architecture, data flow, transformation logic, and QC rules.
- Prepare user guides and technical documentation for maintenance and enhancements.
Testing & Validation:
- Perform source-to-target data validation.
- Test transformation logic, QC rules, and integration with dashboards/systems.
- Conduct end-to-end testing for reliability and accuracy.
Required Skills & Qualifications:
- Technical Expertise:
SQL, Python/Scala, Spark, ETL tools (ADF, Airflow, Talend, Glue, SSIS). - Data Platforms:
Hands-on experience with Data Lakes (e.g., S3, ADLS) and Data Warehouses (Snowflake, Redshift, Synapse, BigQuery). - BI/Visualization:
Integration experience with Power BI, Tableau, or QlikSense. - Cloud Experience:
Azure / AWS / GCP services for data pipelines. - Version Control & CI/CD:
Git, DevOps pipelines, automated deployments. - Other Skills:
Data Quality frameworks (Great Expectations, Deequ), strong problem-solving, documentation, and testing practices.
Preferred Qualifications:
- Experience in large-scale data engineering projects in the Middle East / Kuwait market.
- Familiarity with upstream systems like Seabed and Sahala.
- Exposure to real-time/streaming architectures (Kafka, Kinesis, Event Hub).
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