Job Description: Role: Data Engineer
Work Arrangement: Hybrid (4 days/week onsite): Work Hours: 9:00 AM - 5:00 PM
Experience Required: 6-8 Years
Role Description:
Looking for a Data Engineer with strong experience in ADF, ADB, PySpark, SQL, and architecting ETL frameworks.
Essential Skills:
Azure Data Factory (ADF)
Azure Databricks (ADB)
PySpark
SQL
Architecting ETL Frameworks
Required Skills:
Strong communication skills with the ability to liaise and coordinate with SMEs and technical partners Strong ability to break down technical requirements into actionable tasks Proficient with relational databases such as MS SQL and SQL scripting Proficient in building and maintaining Azure Data Factory pipelines for data ingestion orchestration Good OOP understanding with experience in Python or Java Proficiency with Git (Bitbucket or GitHub) Good understanding of CI/CD concepts for building and deploying artifacts Understanding of synchronous and asynchronous data encryption/decryption
Nice to Have Skills:
Azure Databricks Notebooks or Apache Spark for data transformations Datadog dashboard and monitoring experience Azure Data Lake Gen2 Understanding of Parquet and Delta Lake concepts Experience with XLR for CI/CD Experience with Flyway for data migrations
Azure Data Engineer • Toronto, ON, ca
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