Closed listing
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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Search current openingsOriginal 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