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Senior Data Engineer

  • Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Experience
8+ years of experience overall.
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Iris's Fortune 100 direct client is looking for Senior Data Engineer

Please find below Job description and share your updated resume with me.

Position: Senior Data Engineer

Employment Type: Long term contract

Location: Toronto, ON

Hybrid: 4 days office, 1 day work from home

Client : Banking

Job Description

8+ years of experience overall.

strong experience working as Data Engineer is required.

Good experience in Python is required.

Strong experience with PySpark for large-scale data processing.

Experience working with, building, and optimizing data pipelines.

Good communication skills is required.

About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada. Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

More about this job

Responsibilities

Build and optimize data pipelines, including processing large-scale data with PySpark. Work as a data engineer in a banking client environment.

Requirements

Requires 8 or more years of overall experience and strong experience working as a data engineer. Requires good Python experience, strong PySpark experience for large-scale data processing, experience building and optimizing data pipelines, and good communication skills.

Skills

  • Data Engineering
  • Python
  • PySpark
  • Large-Scale Data Processing
  • Data Pipeline Development
  • Data Pipeline Optimization
  • Communication

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Data Engineering
  • Senior Data Engineer
  • Python
  • PySpark
  • Large-Scale Data Processing
  • Data Pipelines
  • Pipeline Development
  • Pipeline Optimization
  • Banking
  • Financial Services
  • Capital Markets
  • Toronto
  • Hybrid Work
  • Long-Term Contract
  • Communication

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