Role Overview:
We are seeking a mid-senior Java Spark Developer to join our team in Montreal. The successful candidate will focus on high-volume data processing and distributed computing within a data-intensive environment. This role requires a strong analytical mindset, expert-level coding skills in Java and Spark, and a commitment to maintaining high performance through optimization and rigorous testing.
Core Responsibilities:
- Data Engineering: Design, develop, and maintain high-volume data processing applications using Java and Apache Spark.
- Performance Optimization: Write, query, and optimize complex SQL statements to handle large-scale datasets efficiently.
- Distributed Computing: Implement and support distributed computing solutions to address complex business requirements.
- AI/Model Support: Assist in building and supporting applications by managing data context, utilizing basic prompts, and conducting foundational model testing.
- Analytical Execution: Leverage strong data analysis skills to drive insights and ensure the accuracy and reliability of data outputs.
Technical Requirements (Mandatory):
- Core Java: Advanced proficiency in Java application development.
- Apache Spark: Proven hands-on experience in building and optimizing Spark-based data pipelines.
- SQL: Expert-level experience in querying, database optimization, and managing large datasets.
Professional Experience:
- Experience: 5-7 years of relevant professional experience.
- Education: Bachelor's Degree in Computer Science, Information Technology, or a related field.
- Seniority: Mid-Senior level proficiency; ability to work independently.
Position Logistics:
- Onsite Requirement: This role requires the candidate to work from the office 3 days per week starting from Day 1.
- Relocation: Relocation assistance may be considered for the ideal candidate.
- Compensation: Competitive base salary range of USD $70,676 - $77,744.
- Benefits: Full benefits package provided.
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