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Senior Data Engineer

  • Toronto, ON, Canada

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Job details

Job type
Contract
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Experience
5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Posting language
English
Posted

Original job description

Location: Ottawa/Toronto (Hybrid)

Duration: 12+ Months

Must have: SQL+ Datawarehouse+ Banking domain

Job Description:

This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.

Skills:

  • 5+ years - SQL Server based development of large datasets
  • 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
  • Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
  • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
More about this job

Responsibilities

Develop and deploy ETL pipelines using Databricks and PySpark, and build SQL Server solutions for large datasets and enterprise data warehousing. Work with business users and apply business analysis expertise to support data requirements.

Requirements

Requires 5+ years of SQL Server development experience with large datasets and experience developing and deploying ETL pipelines using Databricks and PySpark. Requires experience with a cloud data warehouse and data warehousing concepts, including OLTP, OLAP, dimensions, facts, and data modeling; banking domain experience is also listed as a must-have.

Skills

  • SQL
  • SQL Server
  • Python
  • PySpark
  • Databricks
  • ETL Pipelines
  • Data Warehousing
  • Data Modeling
  • OLTP
  • OLAP
  • Dimensions and Facts
  • Cloud Data Warehouses
  • Synapse
  • BigQuery
  • Redshift
  • Snowflake

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Finance & Accounting

Keywords

  • Senior Data Engineer
  • Banking
  • SQL
  • SQL Server
  • Python
  • PySpark
  • Databricks
  • ETL
  • Data Pipelines
  • Data Warehousing
  • Enterprise Systems
  • Large Datasets
  • Cloud Data Warehouse
  • Synapse
  • BigQuery
  • Redshift
  • Snowflake
  • OLTP
  • OLAP
  • Dimensions
  • Facts
  • Data Modeling
  • Business Users
  • Business Analysis

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