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Data Engineer
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Key Responsibilities:
Data Engineering & Pipeline Management
Data Quality, Governance, and Compliance
Collaboration and Cross-functional Support
Qualifications and Experience:
Data Engineering & Pipeline Management
- Design, build, and optimize T-SQL stored procedures, functions, and scripts for high-volume data processing and ECM scoring.
- Develop, deploy, and monitor end-to-end ETL/ELT workflows (e.g., SQL Server Agent, SSIS, Azure Data Factory, or Airflow) with checkpoint/rollback, job tracking, and recovery capabilities.
- Perform data cleansing, preparation, and transformation to support business intelligence and machine learning workflows.
- Engineer and maintain reusable feature store tables (per entity/tax type) for ML models and operational scoring.
- Model and maintain data warehouse structures (3NF, dimensional/star/snowflake), ensuring proper documentation of data lineage.
- Prepare and deliver curated, scored datasets for downstream consumption in Power BI dashboards and analytics environments.
- Develop and maintain audit, telemetry, and job tracking tables to ensure data reliability, restartability, and monitoring visibility.
- Support and troubleshoot production pipelines, optimizing query performance via indexing, tuning, and profiling tools.
Data Quality, Governance, and Compliance
- Implement and monitor data validation, reconciliation, and QA frameworks across the data lifecycle.
- Enforce data security, privacy, and compliance controls in line with corporate and regulatory standards.
- Support the implementation of data governance and lineage documentation, ensuring traceability and adherence to EDM policies.
Collaboration and Cross-functional Support
- Collaborate with data analysts, data scientists, software engineers, and business stakeholders to translate business problems into scalable data solutions.
- Provide accessible, well-documented datasets to support analytics and reporting.
- Contribute to all phases of the SDLC, including requirements, design, development, testing, deployment, and maintenance.
Qualifications and Experience:
- A tertiary qualification in Computer Science, Information Systems, Data Engineering, Analytics, Mathematics, or Statistics or Matric with 6-8 years of experience in data engineering, database development, or data management in production environments.
- Proven hands-on experience with SQL Server, including advanced T-SQL development, ETL/ELT workflow design, and performance tuning.
- Demonstrated delivery of production data solutionsboth batch and near real-timewithin enterprise environments.
- Experience in building and maintaining data warehouses, feature stores, and reusable data products.
- Track record of implementing data governance and quality frameworks, ensuring compliance and traceability.
- Experience
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1264975-Job-Search-02-23-2026-04-10-11-AM.asp?sid=gumtree
Id Subtitle 1350542112
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Executive Placements
Selling for 1 year
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Active Ads5.26K
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https://www.jobplacements.com/Jobs/A/Amperity-Functional-Consultant--Hybrid--JHB-1265595-Job-Search-02-24-2026-05-00-16-AM.asp?sid=gumtree
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