Senior Java Developer

3 weeks ago


Bengaluru, Karnataka, India GeekSoft Consulting Full time
Job Title

Senior Java Developer - Data Engineering Leader

About GeekSoft Consulting

At GeekSoft Consulting, we are committed to delivering innovative solutions that drive business growth. Our team of experts works collaboratively to design and develop cutting-edge technology products that meet the evolving needs of our clients.

Estimated Salary Range

We offer a competitive salary range of $200,000 - $300,000 per annum, depending on experience and qualifications.

Job Description

We are seeking an experienced Senior Java Developer to lead our data engineering efforts. As a key member of our team, you will be responsible for designing, architecting, and implementing scalable data processing pipelines using Java and Apache Spark.

Key Responsibilities:
  • Design and implement large-scale Apache Spark jobs in Java to process vast datasets, including blockchain data streams and financial transactions.
  • Architect high-performance, reliable data pipelines integrated with Azure services (ADLS, Blob Storage, and Azure Databases) for both real-time and batch processing.

You will work closely with our cross-functional teams to build data-intensive applications while promoting best practices in cloud-based architecture. If you have a passion for data engineering, distributed systems, and cloud technologies, this role is for you.

Requirements:
  • 13+ years of experience in software development with strong expertise in Java and JVM-based technologies.
  • 5+ years of experience working with Apache Spark for data processing in Java.
  • Extensive experience with Azure Data Services, including ADLS, Azure Blob Storage, and Azure Databases.
  • In-depth expertise in distributed data processing and streaming frameworks, with hands-on experience in integrating message brokers like Redpanda or Kafka.
  • Proven experience in cloud-native architecture design, specifically on Azure.
  • Strong skills in data storage optimization, partitioning, and performance tuning in Spark.
  • Leadership and mentoring experience with a proven ability to guide and develop high-performing engineering teams.
  • Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices.
  • Strong understanding of security best practices for cloud-based data pipelines.
Benefits:
  • A challenging, innovating environment.
  • Opportunities for learning where needed.
What We Offer:

We provide a dynamic and supportive work environment that encourages innovation, collaboration, and continuous learning. Our comprehensive benefits package includes opportunities for professional growth, flexible work arrangements, and a competitive compensation plan.



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