Big Data Developer

We're hiring for one of the world's leading professional services firms, renowned for its commitment to innovation, excellence, and global impact. With a presence in over 150 countries, this organization provides services across consulting, audit, tax, risk advisory, and financial advisory helping Fortune 500 companies and governments navigate complex challenges.

Job Title:

Big Data Developer

Employment Type:

Full-Time Employee (FTE)

Location:

PAN India

Experience:

6+ years

About the Role:

We are seeking a highly skilled

Big Data Developer

with strong expertise in Spark and Scala to join our dynamic team. The ideal candidate will have hands-on experience with cloud platforms such as AWS, Azure, or GCP for big data processing and storage solutions. You will play a critical role in designing, developing, and maintaining scalable data pipelines and backend services using modern big data technologies.

Key Responsibilities:

• Develop, optimize, and maintain large-scale data processing pipelines using Apache Spark and Scala.
• Implement and manage cloud-based big data storage and processing solutions on Azure Data Lake Storage (DLS) and Azure Databricks.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable backend services using Java and Spring Boot framework.
• Ensure best practices in data security, performance optimization, and code quality.
• Troubleshoot and resolve production issues related to big data workflows and backend services.
• Continuously evaluate emerging technologies and propose enhancements to current systems.
  

Must-Have Qualifications:

• 6+ years of experience in Big Data development.
• Strong expertise in Apache Spark and Scala for data processing.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP, with a strong focus on Azure Data Lake Storage (DLS) and Azure Databricks.
• Proficient in backend development using Java and Spring Boot framework.
• Experience in designing and implementing scalable and fault-tolerant data pipelines.
• Solid understanding of big data architectures, ETL processes, and data modeling.
• Excellent problem-solving skills and ability to work in an agile environment.
  

Preferred Skills:

• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of streaming technologies such as Kafka.
• Experience with CI/CD pipelines and automated testing frameworks.
  

What We Offer:

• Competitive salary of based on experience and skills.
• Flexible working options with PAN India presence.
• Opportunity to work with cutting-edge big data technologies in a growing and innovative company.
• Collaborative and supportive work culture with career growth opportunities