Role Descriptions: Design and implement scalable data platforms using Databricks Lakehouse| Delta Lake| Spark| and PySpark.Architect batch and real-time data pipelines on Azure/AWS/GCP.Lead ETL modernization and migration from Informatica PowerCenter/IICS/IDMC to Databricks.Define data governance| security| performance optimization| and best practices.Collaborate with business and technical teams to deliver enterprise data solutions.
Essential Skills:
Required Skills:-Solid expertise in Databricks| Spark| PySpark| SQL| Delta Lake| Unity Catalog.Hands-on experience with Informatica PowerCenter and/or IICS/IDMC.Experience in data warehousing| data modeling| and cloud platforms (Azure preferred).Knowledge of CI/CD| Git| and Agile methodologies.Preferred Skills:-Databricks and Cloud certifications.Experience with Snowflake| Azure Synapse| Kafka| or Data Governance tools.
Desirable Skills
Keyword
Skills: Digital : Databricks
EEOC Compliance
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
📌 Databricks Architect (Brampton)
🏢 Pacer Group
📍 Brampton
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