Senior Java Developer
3 weeks ago
Senior Java Developer - Data Engineering Leader
About GeekSoft ConsultingAt 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 RangeWe offer a competitive salary range of $200,000 - $300,000 per annum, depending on experience and qualifications.
Job DescriptionWe 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.
- A challenging, innovating environment.
- Opportunities for learning where needed.
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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