Data Engineer (Azure Data Factory | Databricks | PySpark)

Posted via LinkedIn Recruiter (not a company profile)

Posted 5 days ago

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About the role

  • Data Engineer needed for 12-month contract in Pickering, ON. Must have Azure Data Factory, Databricks, PySpark, and SQL expertise.

Responsibilities

  • Build and productionize scalable ETL/ELT data pipelines; develop and optimize data workflows using Azure Data Factory and Azure Databricks; design and maintain data lakehouse and data warehouse solutions; implement data ingestion pipelines from multiple sources; ensure data quality, lineage, governance, and security standards; work closely with Data Architects, BI teams, and Data Scientists; support production systems and troubleshoot data pipeline issues; build orchestration and automation; participate in Agile ceremonies, code reviews, and CI/CD practices; contribute to metadata management and data catalog initiatives; develop automated testing for data pipelines.

Requirements

  • Must-Have: Strong hands-on experience with Azure Data Factory (ADF), expertise in Azure Databricks, strong programming in PySpark and SparkSQL, advanced SQL skills, experience with Azure Data Lake (ADLS) and/or Azure Synapse Analytics, experience building ETL/ELT data pipelines, strong understanding of data structures and data processing frameworks. Nice to Have: Azure Purview or data governance tools, CI/CD for data pipelines, Power BI or data visualization exposure, experience with CI/CD, automation, and infrastructure-as-code concepts, experience working in Agile/SCRUM environments.

Job title

Job type

Contractor

Experience level

Mid level

Salary

Up to $96/hr (All-inclusive)

Degree requirement

No Education Requirement

Tech skills

Azure Data FactoryDatabricksPySparkSparkSQLPythonSQLAzure Data LakeAzure Synapse AnalyticsAzure PurviewPower BICI/CD

Location requirements

Linkedin Recruiter PostPickeringOntario

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