Data Engineer

• Job Title: Hadoop Data Engineer
• Location: Scottsdale, AZ (100% Onsite)
• Employment Type: Contract / Full-Time
• Hiring Through: Staffline Solutions

About the Opportunity

Staffline Solutions is hiring on behalf of a leading client seeking experienced Hadoop Data Engineers to join their growing data engineering team. This role is ideal for professionals with strong expertise in Java, Spring Boot, Spark, Scala, and Big Data technologies who are passionate about building scalable, high-performance data processing solutions.

• Key Responsibilities
• Design, develop, and maintain scalable data processing applications using Java (8+) and Spring Boot.
• Build, optimize, and support large-scale data pipelines using Apache Spark and Scala.
• Develop and consume RESTful APIs and web services for seamless data integration.
• Implement batch and real-time data processing solutions using Spark Streaming and Kafka.
• Write and optimize complex Hive and SQL queries for high-performance analytics.
• Work extensively within the Hadoop ecosystem to support enterprise-scale data platforms.
• Collaborate with business stakeholders, architects, and development teams to translate requirements into technical solutions.
• Perform code reviews and follow best practices for source control, testing, and CI/CD processes.
• Monitor, troubleshoot, and resolve data pipeline performance and reliability issues.
• Contribute to capacity planning, scalability improvements, and platform optimization initiatives.

• Required Qualifications
• 8–12 years of hands-on experience in Java development (Java 8 or higher).
• Strong expertise in Spring Boot and microservices architecture.
• Extensive experience with Apache Spark and Scala.
• Strong knowledge of Hadoop ecosystem components.
• Hands-on experience with Hive, SQL tuning, and performance optimization.
• Experience implementing and managing Kafka-based streaming solutions.
• Solid understanding of RESTful web services and API integrations.
• Experience with Git, GitLab, or similar version control systems.
• Experience using Maven and/or Gradle build tools.
• Strong understanding of distributed systems and big data architecture.
• Experience working on large-scale enterprise data platforms.
• Proven experience in troubleshooting, performance tuning, and optimization of big data applications.

• Preferred Qualifications
• Experience with Spark Streaming and Kafka Streams.
• Exposure to DevOps practices and CI/CD pipelines.
• Knowledge of cloud-based big data platforms is an added advantage.
• Strong analytical, problem-solving, and communication skills.

• Why Join?
• Opportunity to work on enterprise-scale big data platforms.
• Collaborative and innovative work environment.
• Long-term engagement with a leading technology-driven organization.
• Competitive compensation package.

Interested candidates can apply directly or reach out to Staffline Solutions with their updated resume and contact details.