Purpose: provide data engineering and analysis skills to data heavy deliverables.
Seniority: Mid to senior.
Reports to: Data Architect.
Responsibilities
Build version controlled pipelines for profiling, cleansing, transformation and migration.
Automate reconciliation between legacy and target (counts, control totals, field comparisons).
Provide masked test data for non production settings.
Document pipelines and pair with ASIC data staff.
Essential: data engineering on a contemporary platform; SQL and Python or Spark; data quality and reconciliation.
Desirable: Databricks; mainframe or Informix data extraction; registry or financial data.
📌 Mid / Senior Data Engineer Or Analyst Citizens With Baseline Sydney
🏢 Xpt Software Australia
📍 Sydney
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