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Sr Databricks Data Engineer

  • Toronto, ON, Canada

$60 to $65 CAD / hour · Contract

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Job details

Pay
$60 to $65 CAD / hour
Job type
Contract
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Posting language
English
Posted

Original job description

Job Title: Sr Databricks Data Engineer

Location: Toronto, ON

Work Arrangement: Hybrid- 4 Days onsite

Employment Type: Contract

Domain: BFSI

Pay Rate: CAD 60-65/hr on Incorporated

Application Deadline: Sep 30th, 2026

SKILLS REQUIRED

  • Hands-on experience with Databricks and Apache Spark at scale.
  • Lead modernization of legacy Cloudera (CDH/CDP, Hive, HBase, Impala, Spark) platforms to Databricks Lakehouse.
  • Design and implement scalable Data Warehouse, Data Lake/Lakehouse, Delta Lake, and Medallion architectures.
  • Develop high-volume PySpark/Spark SQL ELT pipelines and optimize Databricks workloads for performance and cost.
  • Strong experience with Finance and Risk data models, including General Ledger, accounting, credit, liquidity, market risk, and regulatory reporting.

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

More about this job

Responsibilities

Lead the modernization of legacy Cloudera platforms to Databricks Lakehouse architecture. Design and implement scalable data solutions while developing high-volume ELT pipelines and optimizing performance.

Requirements

Requires hands-on experience with Databricks and Apache Spark at scale. Candidates must have strong expertise in Finance and Risk data models including general ledger and regulatory reporting.

Skills

  • Databricks
  • Apache Spark
  • PySpark
  • Spark SQL
  • Data Lakehouse
  • Delta Lake
  • Data Warehouse
  • Cloudera
  • Hive
  • HBase
  • Impala
  • Finance Data Models
  • Risk Data Models
  • Regulatory Reporting
  • ELT Pipelines

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Databricks
  • Apache Spark
  • Cloudera
  • Hive
  • HBase
  • Impala
  • Lakehouse
  • Delta Lake
  • PySpark
  • Spark SQL
  • ELT
  • Data Warehouse
  • Data Lake
  • Finance
  • Risk
  • General Ledger
  • Accounting
  • Credit
  • Liquidity
  • Market Risk
  • Regulatory Reporting
  • BFSI
  • Modernization
  • Data Engineering

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