Data Engineer

3 days ago

Johannesburg, Gauteng, South Africa Data Centrix Full time
Data Engineering Role at Data Centrix

At Data Centrix, we are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining data engineering pipelines in our data warehousing, data ingestion, cleansing, manipulation, modeling, and reporting processes.

Key Responsibilities:
  • Maintain, support, and monitor existing production SSIS packages and SQL queries and stored procedures, CICD pipelines to ensure all data loads on the data warehouse meet data quality standards and business SLA requirements.
  • Build, maintain, support, and monitor Synapse data engineering pipelines on the data platform if required.
  • Participate and contribute to data architecture design, data modeling, gathering, and analysis of data requirements; understand, document, communicate, and build appropriate solutions.
  • Participate, design, build, deliver, and document data-related projects with various environment-specific data analytics technologies.
  • Promote data engineering best practices with CICD pipelines and automation.
  • Collaborate and work closely with team members and contribute significantly to building a high-performing, collaborative, transparent, and result-driven data engineering team.
  • Support the Data Engineering Practice Team Manager with best-fit-to-purpose data engineering solutions, quality engineering artifacts, and high-standard documentation.
  • Follow Data Ethics standards to protect personal information and do the right thing to meet our customers', partners', and communities' expectations.

Requirements:
  • 8+ years of demonstrable experience in design, build, and support of data engineering pipelines in the data warehousing, data ingestion, cleansing, manipulation, modeling, and reporting.
  • Experience in ETL using Microsoft technologies.
  • Strong experience in writing MS SQL server queries, stored procedures, and SSIS packages.
  • Experience with SSRS would be an advantage.
  • Experience of manipulating semi-structured data (XML, JSON).
  • Strong knowledge and extensive experience in working in an Agile framework with CI/CD using modern DevOps/Data Ops integrated processes with YAML pipelines.
  • Bachelor's degree in computer/data science technical or related field is a must. Post-graduate is highly regarded.
  • Knowledge of Azure Synapse data engineering pipelines, PySpark notebooks, data platform lake house architecture, and Azure SQL ODS storage is desirable.

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