Live opening · Posted 12 days ago
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The key details from the original listing.
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About the role
Description supplied by the original job listing.
Requirements:
5+ years of experience as a Data Engineer, Data Integration Developer, or similar role.
Must have hands-on experience with Databricks, including building and supporting production-grade data pipelines.
Strong experience with Spark/PySpark, SQL, ETL/ELT development, data ingestion, transformation, and pipeline orchestration.
Experience with Azure data services, including Azure Data Factory, Azure Data Lake Storage, and cloud-based data integration patterns.
Good understanding of data lakehouse concepts, data modelling, data quality controls, metadata management, and secure data handling.
Experience with production support, monitoring, troubleshooting, performance tuning, and operational resiliency for data pipelines.
Ability to manage relationships with technology, data governance, and business partners.
Advanced verbal and written communication skills, with the ability to explain data engineering concepts clearly to technical and non-technical stakeholders.
Good to Have:
Experience with Delta Lake, medallion architecture, streaming data, API-based ingestion, Kafka, Autosys, GitHub, CI/CD, or DevOps practices.
Exposure to legacy data platforms such as Netezza, Oracle, PL/SQL, or Informatica is an asset.
Experience
5-8 yrs
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