Data Engineer
1 week ago
Our client is a
telecom company based in Oman
that is implementing a centralized Data Management Hub to enhance data governance, integration, and analytics capabilities across the organization.
To ensure effective delivery of the Data Management Hub, they are looking for a
Data Engineer (QA)
to work in
Muscat
and support them for
12 months
.
The role is
100% on-site
.
The Data Engineer (QA-focused) is responsible for validating, testing, and monitoring data pipelines and warehouse/lakehouse environments. This role emphasizes quality assurance over development, ensuring that all data delivered to business users and analytics platforms meets defined standards.
Key Responsibilities
- Data Quality Assurance:
- Design and implement automated data validation and reconciliation processes
- Develop test cases for ETL pipelines, data ingestion, and transformation logic
- Perform root cause analysis for data discrepancies and anomalies
- Testing & Monitoring:
- Conduct unit, integration, and regression testing for ETL workflows and data models
- Monitor data pipelines for failures, performance bottlenecks, and data drift
- Implement alerting mechanisms for data quality issues
- Collaboration:
- Work closely with the Senior ETL Architect to validate pipeline logic and transformations
- Partner with business analysts to ensure data meets reporting and analytics requirements
- Provide feedback to developers on data quality improvements and bug fixes
- Documentation & Standards:
- Maintain QA documentation including test plans, test cases, and defect logs
- Contribute to establishing data quality standards and best practices
- Support compliance with governance, security, and privacy policies
Professional background
- Bachelor's degree in computer science, Data Engineering, or related field
- 4–6 years of experience in data engineering, with at least 2 years in QA/testing roles
- Proficiency in
SQL
for data validation and reconciliation - Hands-on experience with
ETL
tools (e.g.,
Informatica
,
Talend
or similar) - Familiarity with
big data frameworks (Apache Spark, Databricks
) and
MPP platforms
(
Greenplum
,
Netezza
etc) - Knowledge of
QA methodologies
(unit testing, regression testing, automation frameworks) - Familiarity with
CI/CD
pipelines, version control (
Git
), and
infrastructure-as-code
(
Terraform, CloudFormation
) - Experience with JIRA and Confluence is highly desirable
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