Data Engineer

LanceSoft Inc; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

LanceSoft Inc is seeking an experienced Data Engineer in Toronto for a hybrid role focusing on an International Banking project involving data migration to the cloud. Candidates should possess at least 8 years of experience in data engineering, with proficiency in ETL processes and Google Cloud. Bilingual candidates with excellent teamwork and communication skills are preferred. This opportunity offers significant career growth and a chance to work on impactful banking solutions.

Qualifications

• 8+ years of experience as a Data Engineer.
• Bilingual in English and Spanish required.
• Hands-on expertise in building data pipelines on cloud platforms.

Responsibilities

• Develop and maintain a cloud platform for data integration and publication.
• Ensure quality, security, and accessibility of data.
• Collaborate effectively in a team environment.

Skills

ETL

Data Engineering

Bilingual English and Spanish

Google Cloud Platform (GCP)

Python

Java

SQL

Data Modeling

Agile

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or related field

Tools

Google Cloud Platform (GCP)

Git

Job description

Location Address: Hybrid - Toronto – as of now, mandate is to come in 4x/week starting in September, this is subject to change for the team - want candidates in the GTA who are OK with this
Contract Duration: ASAP to Oct 31, 2025 – approx. 2.5 months (Good possibility of extension)
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Story Behind the Need
Project: International Banking – Data Migration and Transformation to Cloud

Mission: To develop and maintain a cloud platform that integrates data from various sources, standardizes processes, and facilitates data publication for consumers and producers, ensuring quality, security, and accessibility.

Candidate Requirements/Must Have Skills:
1) 8+ years of experience as a Data Engineer, with some recent experience working with ETL
2) Bilingual in English and Spanish required (verbal / written professional proficiency in both)
3) 3+ years of hands-on expertise in building data pipelines on cloud platforms, with a preference for Google Cloud Platform (GCP)
4) 3+ years’ experience with GCP tools such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer, AirFlow
5) 5+ years’ experience in programming languages like Python or Java and advanced SQL for data processing

Nice-To-Have Skills:
1) 3+ years’ experience with data modeling, schema design, and data warehousing concepts.
2) Familiarity with version control systems (e.g., Git) and basic CI/CD practices is a plus.
3) Understanding of data governance and security practices in cloud environments.
4) Experience from FI/banking
5) Experience working in an Agile environment

Soft Skills Required:
• Strong problem-solving skills and ability to work collaboratively in a team environment.
• Effective communication skills to translate technical concepts to non-technical stakeholders.

Education:
Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.

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