Big Data Developer

Pune, Maharashtra
Rs. 2,00,000-15,00,000 per year
Permanent
Full-time

2 months ago
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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+ yearsAbout 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.

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