Dice is the leading career destination for tech experts at every stage of their careers. Our client, iTvorks Inc, is seeking the following. Apply via Dice today!

Job Title: Java developer

Responsibilities:

• Lead development of scalable Java-based applications and microservices
• Design system architecture and participate in technical planning
• Collaborate with cross-functional teams to define requirements and deliver high-quality features
• Mentor junior developers and conduct code reviews
• Write clean, maintainable, and well-documented code
• Ensure application performance, scalability, and security
• Drive best practices in software engineering and Agile methodologies
  
  

Requirements:

• 5+ years of hands-on Java development experience
• Expert knowledge of Java 8+ and Spring/Spring Boot
• Strong experience in building RESTful APIs and microservices
• Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Solid understanding of multi-threading, performance tuning, and system design
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI)
• Strong problem-solving and analytical skills
  
  

Job Title: Data Engineer

Responsibilities:

• Architect and implement robust, scalable data pipelines using modern tools and frameworks
• Design and maintain data warehouse and lakehouse solutions (e.g., Snowflake, BigQuery, Delta Lake)
• Build ETL/ELT processes for batch and streaming data
• Collaborate with stakeholders to understand data needs and deliver high-quality datasets
• Ensure data quality, reliability, and governance best practices
• Optimize data storage, performance, and processing efficiency
• Mentor junior engineers and contribute to team growth and technical standards
  
  

Requirements:

• 5+ years of experience as a Data Engineer or similar role
• Strong proficiency in SQL and Python (or Scala)
• Hands-on experience with data orchestration tools (e.g., Airflow, dbt)
• Familiarity with big data tools (e.g., Spark, Kafka, Hive)
• Experience with cloud data platforms (AWS/Google Cloud Platform/Azure)
• Solid understanding of data modeling, warehousing, and pipeline best practices
• Strong problem-solving and collaboration skills