Location: Toronto

Contract Duration: approx. 10 months – Jan to Oct 31, 2026

Typical Day in Role:

• Involved in end-to-end ETL/ELT architectures using Talend (Studio, TAC, Data Integration, Real-Time Big Data, Data Quality).

• Select integration patterns (batch, micro-batch, streaming) aligned to business SLAs and system constraints.

• Establish standards for metadata management, lineage, error handling, and reusability.

Hands-on Development

• Build robust Talend jobs, components, mappings, and data pipelines for ingestion, transformation, cleansing, and delivery.

• Develop custom Talend components and routines using Java 8/11 for advanced transformations and framework extensions.

• Work with SQL for validation, transformation logic, and performance tuning.

Data Quality & Validation

• Implement data quality rules, profiling, exception handling, and reconciliation frameworks.

• Design automated validation suites and sampling strategies for high-stakes data consumption.

Performance & Reliability

• Tune jobs and SQL for scale (partitioning, parallelization, pushdown optimization, caching).

• Optimize schedules, dependencies, and resource utilization within TAC.

• Establish SLIs/SLOs and monitor pipeline health via logs, metrics, and alerts.

DevOps & Automation

• Integrate Talend with Git and CI/CD tools (e.g., Jenkins, Azure DevOps) for versioning, build, test, and deployment automation.

• Promote repeatable deployments across dev/test/prod with environment configs and secrets management.

Migration & Modernization

• Lead conversion of legacy ETL platforms to Talend, including mapping old jobs, rationalizing logic, and decommissioning.

• Support cloud integration initiatives and real-time processing adoption.

Collaboration & Leadership

• Partner with data architects, DBAs, application teams, and business stakeholders.

• Mentor developers, review code/designs, and contribute to best practices and documentation.

Tools & Technologies:

Talend: Studio, TAC, DI, Real-Time Big Data Platform, Data Quality

Databases: SQL Server, DB2

Languages: Java 8/11, SQL

Streaming/Integration: REST, Kafka; monitoring via Splunk

DevOps: Git, Jenkins, Azure DevOps (pipelines, artifacts), environment configs

Cloud (preferred): Azure/GCP services for storage, compute, integration

Must Have Skills:

1. 10+ years of relevant working experience in ETL development, architecture, and data integration

2. 8+ years of hands-on Talend development experience: Talend Studio, Talend Administration Center (TAC), Talend Data Integration, Talend Real-Time Big Data Platform and Talend Data Quality

3. 5+ years of Java (Java 8/11) for Talend customizations and job-level logic

4. Strong expertise across ETL concepts, data warehousing, and integration patterns

5. Hands on experience building Talend ETL/ELT jobs, components, mapping and data pipelines

6. Advanced SQL for data validation transformation and performance tuning (Oracle, SQL, Server, DB2, Teradata)

Nice-To-Have Skills:

1. Proven ETL Migration experience, including conversion of legacy ETL platforms into Talend

2. API and streaming data integration experience, including REST APIs, Kafka, Splunk

3. CI/CD integration for Talend jobs (GIT, Jenkins, Azure, DevOps, etc.)

4. Experience with cloud platforms and cloud integration

5. Big data and real time processing

6. Financial industry experience

Soft Skills Required:

• Good communication skills

Education:

Bachelor’s degree in Computer Science, Engineering, or related field; equivalent experience considered.