Duration: 1 Year (Potential Extension and Conversion)

Schedule: Monday to Friday – Core Business Hours (Occasional Overtime as Required)

:

- We are seeking an experienced Scala Spark Developer from Banking or Finance Domain to design, develop, and maintain scalable data processing solutions supporting liquidity reporting, analytics, and data quality controls.
- This is a long-term opportunity offering exposure to regulatory and liquidity reporting initiatives within a large enterprise environment.
- The role involves building high-performance data pipelines, integrating data from multiple source systems, and ensuring compliance with enterprise development standards.

Responsibilities:

- Develop, enhance, unit test, and optimize data pipelines using Scala and Apache Spark.
- Implement data transformations, aggregations, and calculations required for reporting solutions.
- Ensure performance, scalability, and reliability of large-scale data processing jobs.
- Integrate data from multiple source systems, including transactional, risk, and financial data platforms.
- Apply data validation, reconciliation, and error-handling mechanisms to ensure data quality.
- Support deployment activities, code reviews, and production issue resolution.
- Adhere to enterprise SDLC standards, security requirements, and governance policies.
- Collaborate effectively with development teams, business stakeholders, and project members.

Experience:

- Must have 5+ years of hands-on experience as a Scala Spark Developer.
- Overall 5–10 years of skilled IT experience preferred.




- Strong experience developing scalable and high-performance data processing applications.
- Experience working with large datasets and distributed computing environments.
- Banking industry experience preferred.
- Regulatory reporting experience within banking environments preferred.
- Liquidity reporting experience is considered a strong asset.
- Excellent communication and collaboration skills.

Skillsets:

- Scala
- Apache Spark
- Data Pipeline Development
- ETL and Data Processing
- Data Transformation and Aggregation
- Data Quality Controls and Validation
- Data Reconciliation
- SDLC Best Practices
- Enterprise Application Development
- Banking and Financial Services Domain Knowledge (Preferred)
- Regulatory Reporting (Preferred)
- Liquidity Reporting (Preferred)

Education: • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field preferred.

Shift Hours: Core Business Hours (Monday – Friday)

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit https://www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

Recruiter Details:

Name: Shubham Deep Gautam

Email: [email protected]

Internal ID: # 26-12190

📌 Big Data Developer # 26-12190 (Toronto)
🏢 US Tech Solutions
📍 Toronto