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Senior Data EngineerÂ
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
JOB OUTPUTS AND KEY PERFORMANCE INDICATORS
- Design, build, and maintain ELT pipelines
- Pipeline success rate (% jobs completed without failure)
- Data latency (extraction to availability)
- Error resolution turnaround time
- Integrate data across systems (WMS, TMS, ERP, IoT)
- Number of successful system integrations
% data completeness and consistency across sources - Average time to onboard new data source
- Data Lake / Warehouse Management
- System uptime and availability
- Query performance (execution speed)
- Storage usage vs capacity
- Structured and clean data sets
- Data quality score (accuracy, completeness, validity)
- Number of reported data issues
- Resolution turnaround time
- Collaboration with BI and Data Science teams
- Time to deliver datasets for reports and models
- Internal stakeholder satisfaction rating
- Support requests resolved within SLA
- Documentation and data cataloguing
% of pipelines with up to date documentation - Metadata completeness
- User ease of data discovery
- Security and compliance support
% compliance with access control policies - Number of unauthorised access incidents
- Audit readiness and completion rate
- Process automation
- Manual hours reduced via automation
- Number of recurring tasks automated
- Stability of automated workflows
- Issue analysis and root cause investigations
- Time to issue resolution (from investigation to recommendation)
- Number of root causes correctly identified
- Reduction in repeated issues
- Advanced SQL development, optimisation and data engineering
- Query performance improvements (execution speed and efficiency)
- SQL based data validation, transformation and cleansing coverage
- Reusable SQL pipelines for recurring logistics workflows (inventory, shipments, routing)
- SQL based reconciliation across multiple systems
- Version controlled, documented SQL scripts aligned with governance standards
- Reduction in errors or rework due to SQL inefficiencies
- Minimum Requirements (Experience and Qualifications)
- Bachelor's or Masters in Computer Science or related field
- Microsoft Certified Azure Data Engineer Associate
- Google Professional Data Engineer
- AWS Certified Data Analytics
- Certifications in BI or analytics tools such as Power BI, Tableau or SQL
- 3 to 5 years experience in data engineering preferably in logistics or supply chain sectors
- Required Knowledge
- Development of ELT and ETL pipelines using tools such as Apache Airflow,
- SSIS or Azure Data Factory
- Data integration across logistics systems including ERP, WMS, TMS and IoT
- https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1256696-Job-Search-01-28-2026-04-32-21-AM.asp?sid=gumtree
Id Subtitle 1348213228
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Executive Placements
Selling for 1 year
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Active Ads5.16K
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Responsibilities:BI Testing and Quality Assurance: Design and execute test plans and test cases for ETL processes, data integration workflows, data marts, and reporting platforms (e.g., Power BI).Perform data validation and reconciliation between source systems and target BI systems.Conduct functional, integration, system, regression, and performance testing on BI solutions and data pipelines.Identify data quality issues and inconsistencies, log defects, and track them through to resolution.Validate the correctness of business logic applied in BI reports, dashboards, and analytics solutions. Collaboration and Documentation:Collaborate with BI developers, report developers, business analysts, and stakeholders to understand requirements and expected outcomes.Participate in Agile/Scrum ceremonies (e.g., sprint planning, reviews, and retrospectives) where applicable.Maintain comprehensive testing documentation, including test cases, test results, defect logs, and sign-off reports.Assist with user acceptance testing (UAT) and provide support for end-user validation where required. Tools and Platforms - the BI Testers must be proficient in working with the following technologies and environments: Microsoft SQL Server T-SQL for querying and test script development.SSIS (SQL Server Integration Services) for testing ETL workflows and data transformation logic.Power BI for verifying visuals, data accuracy, and report logic.Data Marts for schema validation and data consistency testing. Reporting and Communication Provide regular testing status updates, risk assessments, and defect summaries to the company BI project team.Participate in progress meetings, testing reviews, and provide input into project timelines and delivery readiness. Requirements:must have a computer science/ information systems/ statistics or mathematics degree or diploma with a minimum of five (5) years experience in a BI Tester role and Business Intelligence or Data Testing related Certifications Microsoft Certified: Azure Data Engineer Associate, Data Analyst Associate (Power BI), SQL Server Database Development or administrationETL development or Data IntegrationCertified Agile TesterData Quality and Validation A minimum of three years experience in T-SQL (Transact-SQL) for data validation, querydevelopment, and test scripting.A minimum of three years experience testing SSIS (SQL Server Integration Services) and ETL processes, including validating
https://www.jobplacements.com/Jobs/B/Bunisess-Intelligence-Pecialist-1257103-Job-Search-01-29-2026-04-26-50-AM.asp?sid=gumtree
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