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Senior Spark Developer
Recutify Inc. —Toronto, ON
- Full-time
- Azure
- Oracle
- Java
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Senior Spark Developer
Recutify Inc. —Toronto, ON
We are seeking an experienced Spark Developer with strong expertise in Java, Spring Boot, and Oracle SQL/PL SQL to design and implement scalable data solutions.
Quick apply

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Senior Spark Developer

Recutify Inc.
Toronto, ON

Quick apply

Job details

Full-time

Skills

Spring Boot
CI/CD
Performance tuning
Azure
Oracle
Kubernetes
Spark
Google Cloud Platform
Java
Databases
SQL
AWS
Distributed systems
PL/SQL
Data warehouse

Full job description

Position: Senior Spark Developer (1-2 Profiles enough here)
Location : Toronto,ON
Mode of Work : Hybrid (3 days a week)

Job Summary:

We are seeking an experienced Spark Developer with strong expertise in Java, Spring Boot, and Oracle SQL/PL SQL to design and implement scalable data solutions. This role involves building high-performance data pipelines, optimizing big-data workloads, and deploying applications in modern cloud environments.

Key Responsibilities :

Design and develop scalable data pipelines to support large-scale big-data processing.
Build, optimize, and maintain Apache Spark batch and streaming applications using Java.
Optimize Spark jobs for performance, scalability, and cost efficiency.
Integrate data from multiple sources and systems, ensuring data quality and consistency.
Develop and maintain complex Oracle SQL and PL/SQL scripts, stored procedures, and performance-tuned queries.
Manage and troubleshoot Spark jobs running on Kubernetes or cloud-based clusters.
Deploy Spark applications on Kubernetes or similar container orchestration platforms.
Collaborate with cross-functional teams to deliver robust and efficient data solutions.

Required Skills & Experience :

Strong proficiency in Java and Spring Boot for backend development.
Hands-on experience with Apache Spark (batch and streaming).
Expertise in Oracle SQL and PL/SQL, including query optimization and stored procedure development.
Solid understanding of performance tuning for Spark and database queries.
Experience with Kubernetes, containerization, and cloud platforms (AWS, Azure, or GCP).
Familiarity with distributed systems and large-scale data processing.
Strong problem-solving skills and ability to troubleshoot complex data workflows.

Preferred Qualifications:

Experience with data integration tools and ETL processes.
Knowledge of CI/CD pipelines for data applications.
Exposure to data security and compliance best practices

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