Job Information

- Department Name Banking
- Date Opened 07/15/2026
- Industry IT Services
- Job Type Full time
- Work Experience 5+ years
- City Toronto
- State/Province Canada
- Country Canada
- Zip/Postal Code M4C

About Us

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

Job Description

Required Skills.

- Strong hands-on experience with Data-bricks and Apache Spark (PySpark/Scala).
- Experience in SQL and data transformation techniques.




- Knowledge of ETL tools and data pipeline development.
- Experience working with cloud platforms (Azure/AWS/GCP)
- Strong Azure cloud background
- Understanding of data warehousing concepts.
- Solid problem-solving and analytical skills.
- Hands-on experience with Azure Data bricks or Delta Lake, in building ETL pipelines : batch (autoloader) and Spark structured streaming
- Knowledge of data modelling and performance tuning in Spark.
- Exposure to CI/CD pipelines and DevOps practices.
- Familiarity with data governance and security practices.
- Strong hands on working experience of Unity catalog:
- Hands on exposure to Creating end to end environments : creating catalogs, schemas, tables . materialized views, functions, volumes
- Experience in building SCD 1 and SCD2 (slowly changing dimensions ) on dimension tables
- Experience in building CDC (change data capture pipelines)
- Strong hands on experience with Lakehouse federation , creating foreign catalogs to get data from external sources
- Strong understanding of databricks partitioning , Liquid clustering

Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.

📌 Data Engineer (Toronto)
🏢 Kumaran Systems
📍 Toronto