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Data Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Greetings!
Iris’s leading financial client is looking for Data Engineer to join their team at Toronto, ON(Hybrid) location.
Job Title: Data Engineer
Location: Toronto, ON(Hybrid)
Duration: Long Term
Job Description:
- Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets.
- Build and optimize ETL/data engineering workflows for large-scale data platforms.
- Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management.
- Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.
- Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.
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 ETL and data engineering workflows for large-scale data platforms, using Python and data-processing libraries such as pandas and polars. Develop containerized applications and support orchestration, analytical database workloads, and message-driven asynchronous workflows.
Requirements
Requires advanced proficiency in pandas and polars, experience optimizing code for large datasets, and hands-on Docker experience. Candidates should also have knowledge of Kubernetes, working knowledge of ClickHouse or similar columnar databases, and familiarity with NATS.io.
Skills
- Python
- Pandas
- Polars
- Data Processing
- ETL
- Docker
- Kubernetes
- ClickHouse
- Columnar Databases
- OLAP
- NATS.io
- Message-Driven Systems
- Asynchronous Workflows
- Performance Optimization
- Data Engineering
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Data Engineering
- Python
- Pandas
- Polars
- Data Manipulation
- Data Transformation
- Data Analysis
- Large Datasets
- Performance Optimization
- ETL
- Data Workflows
- Large-Scale Data Platforms
- Docker
- Container Images
- Multi-Container Applications
- Kubernetes
- Container Orchestration
- Deployment Management
- ClickHouse
- Columnar Databases
- OLAP
- Analytical Queries
- NATS.io
- Messaging
- Streaming
- Message-Driven Systems
- Asynchronous Workflows
- Financial Services