At a Glance
- Tasks: Design and maintain scalable data pipelines using Databricks, Python, and SQL.
- Company: Leading banking and financial services firm in Toronto.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: In-person role with a focus on collaboration and innovation.
- Why this job: Join a dynamic team and work on impactful data solutions in finance.
- Qualifications: 5-7 years of data engineering experience with strong skills in Databricks and Python.
The predicted salary is between 123750 - 151250 $ per year.
Location
- Toronto, ON (onsite) -
- In-person Interview is must
Experience
- 5–7 Years
- Open to Contract & Fulltime
Job Summary
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python.
The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing solutions to support business reporting, analytics, and data integration requirements.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.
- Work extensively with Databricks for data processing, transformation, and analytics.
- Develop and maintain data workflows using Python and SQL.
- Integrate data from multiple sources, including Azure databases and Oracle databases.
- Write optimized queries and implement efficient data transformation logic.
- Perform data cleansing, validation, and quality checks to ensure accuracy and consistency.
- Troubleshoot data pipeline failures and resolve performance and data processing issues.
- Collaborate with business analysts, data architects, and other engineering teams to understand data requirements.
- Follow best practices for data security, governance, performance optimization, and documentation.
- Support data solutions involving AI or machine learning where applicable.
Required Skills and Qualifications
- 5–7 years of experience in data engineering or data development.
- Strong hands-on experience with Databricks.
- Experience working with Azure database technologies.
- Strong experience with Oracle Database and SQL.
- Proficiency in Python programming for data processing and automation.
- Experience with ETL/ELT processes, data integration, and data transformation.
- Strong analytical, troubleshooting, and problem-solving skills.
- Good communication and collaboration skills.
Preferred Skills
- Exposure to AI, machine learning, or AI-enabled data solutions.
- Experience with Spark, Py Spark, Delta Lake, or Azure data services.
- Experience optimizing data pipelines and processing large datasets.
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
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Data Engineer – Banking / Financial Domain in Toronto employer: Staffingine LLC
As a General Manager in Montreal, QC, you will thrive in a dynamic and innovative work culture that prioritizes employee growth and collaboration. Our company offers competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
