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Data Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

  • Build Kafka-based streaming and event-driven solutions.
  • Write complex SQL queries for data transformation and validation.
  • Implement data ingestion from databases, APIs, files, and streaming sources.
  • Monitor performance, troubleshoot issues, and ensure data quality, security, and governance.
  • Support deployments, testing, upgrades, and production releases.

Mandatory Skills

  • PySpark and Apache Spark (Spark SQL, DataFrames)
  • Apache Kafka
  • Hadoop Ecosystem (HDFS, Hive, YARN)
  • Apache NiFi
  • SQL
More about this job

Responsibilities

Build Kafka-based streaming and event-driven solutions, write complex SQL queries for data transformation and validation, and implement ingestion from databases, APIs, files, and streaming sources. Monitor performance, troubleshoot issues, ensure data quality, security, and governance, and support deployments, testing, upgrades, and production releases.

Requirements

The posting lists PySpark, Apache Spark (including Spark SQL and DataFrames), Apache Kafka, the Hadoop ecosystem (HDFS, Hive, and YARN), Apache NiFi, and SQL as mandatory skills. No education requirement or specific years of experience are stated; the role is identified as entry level.

Skills

  • PySpark
  • Apache Spark
  • Spark SQL
  • DataFrames
  • Apache Kafka
  • Hadoop
  • HDFS
  • Hive
  • YARN
  • Apache NiFi
  • SQL
  • Data Ingestion
  • Data Transformation
  • Data Validation
  • Data Quality
  • Data Governance

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Consulting

Keywords

  • PySpark
  • Apache Spark
  • Spark SQL
  • DataFrames
  • Apache Kafka
  • Hadoop Ecosystem
  • HDFS
  • Hive
  • YARN
  • Apache NiFi
  • SQL
  • Streaming
  • Event-Driven Solutions
  • Data Ingestion
  • Databases
  • APIs
  • Files
  • Data Transformation
  • Data Validation
  • Performance Monitoring
  • Troubleshooting
  • Data Quality
  • Data Security
  • Data Governance
  • Deployments
  • Testing
  • Upgrades
  • Production Releases
  • IT Services
  • IT Consulting

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