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Senior Data Analyst

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
Experience
12+ years of Data Analysis experience
Posting language
English
Posted

Original job description

12+ years of Data Analysis experience

Mandatory Skills

  • GCP BigQuery
  • Apache Airflow / Cloud Composer
  • Azure Databricks
  • Spark / PySpark
  • Data Migration & Data Reconciliation
  • SQL & Data Analysis
  • Data Profiling & Data Mapping
  • Data Lineage & Data Governance

Preferred Skills

  • Experience with Enterprise Data Lake / Lakehouse architectures
  • Familiarity with data governance frameworks
  • Knowledge of data visualization tools

Qualifications

  • 12+ years of Data Analysis experience
  • Proven experience supporting large-scale cloud data migration programs
  • This role is critical to the success of our data migration initiative, and we are looking for a candidate who is detail-oriented, analytical, and capable of working collaboratively across teams. If you meet the qualifications and are excited about the opportunity to contribute to a transformative project, we encourage you to apply.
More about this job

Responsibilities

The candidate will lead data migration and reconciliation efforts within a large-scale cloud environment. They will be responsible for ensuring data lineage and governance across the organization's data architecture.

Requirements

Requires over 12 years of experience in data analysis with a strong background in cloud platforms like GCP and Azure. Proven expertise in data migration programs and proficiency in SQL and PySpark are essential.

Skills

  • GCP BigQuery
  • Apache Airflow
  • Cloud Composer
  • Azure Databricks
  • Spark
  • PySpark
  • Data Migration
  • Data Reconciliation
  • SQL
  • Data Analysis
  • Data Profiling
  • Data Mapping
  • Data Lineage
  • Data Governance
  • Enterprise Data Lake
  • Lakehouse Architectures

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Finance & Accounting

Keywords

  • GCP
  • BigQuery
  • Apache Airflow
  • Cloud Composer
  • Azure Databricks
  • Spark
  • PySpark
  • Data Migration
  • Data Reconciliation
  • SQL
  • Data Analysis
  • Data Profiling
  • Data Mapping
  • Data Lineage
  • Data Governance
  • Enterprise Data Lake
  • Lakehouse
  • Cloud Data Migration
  • Finance
  • Accounting

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