Role: Senior Data Engineer
Location: Hybrid- 2 days from Sapient Toronto office
In person interview required
Must have experience with Banking Finance client
Experience- 8+ years

Need Senior Data Engineers with strong Scala, Spark, SQL, and modern data platform experience.
About the Role
We are looking for a highly motivated Senior Data Engineer with 5+ years of experience in building scalable data solutions. This role offers the opportunity to influence architecture, shape modern data platforms, and enable data-driven insights across the organization. You will work closely with cross-functional teams to design, develop, and maintain high-performance data pipelines and platforms.
Required Skills
Scala
Spark
SQL
Data Lakes
Data Pipelines
Data Structures
Data Intelligence
Nice to Have
Python (PySpark)
Machine Learning
Key Responsibilities
Design and build scalable data pipelines using Scala, Spark, and SQL.
Develop core components of modern data platforms.
Collaborate with data analysts, data scientists, and product teams to understand data requirements.
Ensure data quality, consistency, and availability for analytics and reporting.
Monitor and optimize data workflows for performance and reliability.
Contribute to system architecture and cloud-native platform design.
Evaluate and adopt modern data intelligence tools and practices.
Requirements
Strong hands-on experience with Scala and large-scale data processing.
Deep expertise in SQL and data transformation.
Proven experience in data engineering and pipeline development.
Experience with distributed systems and cloud platforms (AWS, Azure, or GCP).
Strong understanding of data modeling, warehousing, and governance.
Ability to thrive in a collaborative Agile environment.
Preferred Qualifications
Experience with Python for scripting, analytics, or ML use cases.
Exposure to ML pipelines or MLOps.
Familiarity with data intelligence and data cataloging tools.

Thanks & Regards
Kundan Mishra
Sr. Technical Recruiter
[email protected]

Senior Data Engineer

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