Iris's Fortune 100 direct client is looking for Senior Data Engineer. Please find below 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 Outstanding 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.
📌 Senior Data Engineer (Toronto)
🏢 Iris Software
📍 Toronto