Found Description
Responsibilities
- Design, develop, and maintain scalable data solutions to improve data accessibility, usability, and reliability across the organization.
- Build, optimize, and support end‑to‑end data pipelines and ETL/ELT processes for data ingestion, transformation, and integration.
- Collaborate with business stakeholders and cross‑functional teams to understand data requirements and deliver effective data‑driven solutions.
- Query, cleanse, transform, and validate large datasets using SQL, Python, Databricks, and PySpark.
- Monitor, troubleshoot, and optimize data pipelines to ensure high performance, scalability, and operational reliability.
- Conduct regular data quality assessments and implement controls to ensure data accuracy, consistency, and integrity.
- Ensure compliance with data governance standards and relevant government requirements, including IM8 standards where applicable.
- Develop, enhance, an...
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