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Iris Software Inc.

Senior Data Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 22, 2026
Experience: 10+ years of experience in Data Engineering, Data Modeling, Data Warehousing, and large-scale Data Transformation initiatives.
Posting language: English
Posted: Sep 22, 2026

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Original job description

Iris's Fortune 100 direct client is looking for Senior Data Engineer. Please find below Job description and share me your updated resume at [email protected] .

Position: Senior Data Engineer

Location: Toronto Ontario/Berkeley Heights, NJ

Key Responsibilities:

10+ years of experience in Data Engineering, Data Modeling, Data Warehousing, and large-scale Data Transformation initiatives.
Design, develop, and optimize production-grade data pipelines and data products using Apache Iceberg on modern lakehouse platforms.
Create logical, physical, canonical, dimensional, and enterprise data models to support analytical, operational, and regulatory reporting requirements.
Develop and implement batch and real-time ingestion frameworks using Spark/PySpark, Kafka, or similar distributed processing technologies.
Define and manage Iceberg table structures, partitioning strategies, schema evolution, metadata management, and data lifecycle processes.
Implement CDC, merge/upsert, incremental processing, time-travel, historical data retention, and ACID-compliant data management patterns.
Optimize Iceberg performance through partition evolution, file compaction, small-file management, query tuning, and storage optimization techniques.
Collaborate with architects, application teams, and business stakeholders to establish reusable engineering standards, data models, and governance frameworks.
Design and implement data quality controls, reconciliation processes, lineage tracking, security policies, and regulatory compliance requirements.
Troubleshoot and resolve complex data platform issues involving performance, scalability, concurrency, consistency, and operational reliability.
Support CI/CD automation, testing frameworks, deployment processes, monitoring, alerting, and operational support for data pipelines and platforms.
Drive modernization initiatives involving migration of legacy Data Warehouse, Hadoop, Netezza, or traditional ETL platforms to cloud-based lakehouse architectures using technologies such as Databricks, Snowflake, AWS, Trino/Presto, Athena, EMR, Glue Catalog, and Apache Iceberg. Preferred experience in Banking, Financial Services, Risk, Finance, Regulatory Reporting, or Capital Markets datasets.

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.

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More about this job

Responsibilities

The Senior Data Engineer will design and optimize production-grade data pipelines and data products using modern lakehouse platforms. They will also collaborate with stakeholders to establish engineering standards, data models, and governance frameworks.

Requirements

Candidates must have over 10 years of experience in data engineering, data modeling, and large-scale data transformation initiatives. Proficiency in distributed processing technologies and cloud-based lakehouse architectures is required.

Skills

Data Engineering
Data Modeling
Data Warehousing
Apache Iceberg
Spark
PySpark
Kafka
Databricks
Snowflake
AWS
Trino
Presto
ETL
Data Governance
CI/CD
Cloud Architecture

Visa sponsorship

Not detected in the job text

Hiring contact

Saurav Upadhyay

Hiring contact email

[email protected]

Keywords

Data Engineering
Data Modeling
Data Warehousing
Apache Iceberg
Lakehouse
Spark
PySpark
Kafka
CDC
ACID
Databricks
Snowflake
AWS
Trino
Presto
Athena
EMR
Glue Catalog
ETL
Hadoop
Netezza
CI/CD
Data Quality
Lineage Tracking
Regulatory Compliance
Financial Services
Capital Markets
Data Lifecycle
Schema Evolution
Partitioning

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