Senior Data Engineer

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]

Design and build scalable data pipelines and core components of modern data platforms using Scala, Spark, and SQL. Collaborate with cross-functional teams to ensure data quality and optimize workflows for performance and reliability.

Requires 8+ years of experience with strong expertise in Scala, Spark, SQL, and distributed cloud platforms. Candidates must have experience working with Banking and Finance clients.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Scala
• Spark
• SQL
• Data Lakes
• Data Pipelines
• Data Structures
• Data Intelligence
• Python
• PySpark
• Machine Learning
• AWS
• Azure
• GCP
• Data Modeling
• Data Warehousing
• Data Governance

Expérience minimale

5+ ans

Postuler avant le

28 août 2026