⋮IWConnect

Data Engineer

• Drive end-to-end data‐platform projects, from requirement workshops to production hand-over, using Databricks, Microsoft Fabric, Snowflake, and associated cloud services.
• Build and optimize ETL/ELT pipelines (batch, micro-batch, and true real-time) with Python/PySpark, dbt, Airflow, Kafka/Flink, and cloud-native tools.
• Automate deployment of data stacks via Git-based CI/CD, observability, and cost-controls at every stage.
• Implement data-governance controls (GDPR-compliant PII handling, lineage, quality tests) using Unity Catalog, Purview, or Fabric’s governance layer.
• Mentor mid-level engineers, codify best practices, and contribute to architecture standards and run books.
• Troubleshoot production workloads, continually improve performance, document models, dictionaries, and run books for stakeholders.

Senior Data Engineer