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Pretoria: Sql Data Engineer

Sql Data Engineer

Posted on 2025-04-28 10:19:04

Salary R650 000 – R850 000
Category IT / Computing / Software
Location Za  /  Tshwane  /  Pretoria

Job Summary

Requirements: Relevant Tertiary Qualification (e.g., BSc IT or similar) (Highly Beneficial) At least 5 years working experience in a SQL Data Engineering role Minimum 5 years of hands-on SQL development experience . Experience in warehouse, data lake, or data vault development using SSIS and SQL Transact will be considered here not just fluency in SQL for 10 years). 5 years of Python for data processing , automation, and ETL/ELT pipeline development. Strong problem-solving skills with a focus on backend SQL development. Ability to work independently and in teams to deliver robust data solutions. Ability to translate a documented specification into a robust implemented solution. Financial services industry (preferred) Strong understanding of regulatory compliance, data governance, and financial data structures Advanced proficiency in SQL Transact, SQL Server, SSIS, and SSRS , including performance tuning and query optimization. Experience in data warehouse, data lake, or data vault development using SSIS and SQL Transact. Strong knowledge of AWS services related to data management . Proficiency in GitLab for version control, CI/CD automation , and deployment pipelines. Experience with Python libraries such as Pandas, NumPy, PySpark, and SQLAlchemy for data manipulation and integration. Knowledge of Visual Studio, MDS, and Power BI. Experience in ETL/ELT pipeline development , data integration strategies, and best practices in data engineering. Database administration (DBA) experience, including index management, query optimization, and performance tuning. Methodologies: Working experience in an Agile environment (Scrum, Kanban) with sprint planning and backlog grooming. Proficiency in implementing DevOps practices for automated deployments, monitoring, and alerting. Duties & Responsibilities: Core Responsibilities: Expert-level SQL backend development (not application development). Elicit and document business requirements directly from data clients. Deliver innovative solutions aligned with business needs and strategies. Develop and maintain ETL/ELT data pipelines using SSIS and AWS Glue for large-scale data ingestion and transformation. Implement database solutions with partitioning, indexing, and stored procedures to improve query execution times. Automate deployment pipelines using GitLab CI/CD to streamline development and operational workflows. Implement data governance frameworks, access controls, and compliance protocols to meet financial industry regulations. Collaboration: Build and maintain effective relationships with stakeholders. Deliver consistent, high-quality service while managing expectations. Promote a feedback-driven and service-oriented culture. Self-Management & Teamwork: Contribute to a positive and energizing workplace culture. Align individual performance with team and organizational goals. Encourage and embrace innovation, agility, and collaboration. Take ownership of personal development through effective performance planning and feedback.
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