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Data Engineer

2 days ago18 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Key Responsibilities:
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
Id Subtitle 1350542112
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Executive Placements
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